diff --git a/examples/webinars_conferences_etc/multi_lingual_webinar/5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb b/examples/webinars_conferences_etc/multi_lingual_webinar/5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb
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-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb","provenance":[{"file_id":"1ViWO9iLKbg14klDQaSChT_V4NKKCntSe","timestamp":1613581653408},{"file_id":"1Bk7IyubPw4MQYC0dnRn029Ezs11L6eyH","timestamp":1613500049065},{"file_id":"1bIeaFQKF15ilbRQcCZ3TXi8niovpwo_J","timestamp":1613471432065}],"collapsed_sections":["zkufh760uvF3"]},"kernelspec":{"display_name":"Python 3","name":"python3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"zkufh760uvF3"},"source":["![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/images/logo.png)\n","\n","[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/nlu/blob/master/examples/webinars_conferences_etc/multi_lingual_webinar/5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb)\n","\n","\n","# Training a Sentiment Analysis Classifier with NLU \n","With the [SentimentDL model](https://nlp.johnsnowlabs.com/docs/en/annotators#sentimentdl-multi-class-sentiment-analysis-annotator)  from Spark NLP you can achieve State Of the Art results on any multi class text classification problem \n","\n","This notebook showcases the following features : \n","\n","- How to train the deep learning classifier\n","- How to store a pipeline to disk\n","- How to load the pipeline from disk (Enables NLU offline mode)\n","\n"]},{"cell_type":"markdown","metadata":{"id":"dur2drhW5Rvi"},"source":["# 1. Install Java 8 and NLU"]},{"cell_type":"code","metadata":{"id":"hFGnBCHavltY","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1613500173410,"user_tz":-300,"elapsed":93680,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"2e6d50ee-ad2a-4caf-c6c3-eb92e81168eb"},"source":["import os\n","from sklearn.metrics import classification_report\n","! apt-get update -qq > /dev/null   \n","# Install java\n","! apt-get install -y openjdk-8-jdk-headless -qq > /dev/null\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"PATH\"] = os.environ[\"JAVA_HOME\"] + \"/bin:\" + os.environ[\"PATH\"]\n","! pip install  pyspark==2.4.7 \n","! pip install nlu > /dev/null    \n","\n","\n","\n","import nlu"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Collecting pyspark==2.4.7\n","\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e2/06/29f80e5a464033432eedf89924e7aa6ebbc47ce4dcd956853a73627f2c07/pyspark-2.4.7.tar.gz (217.9MB)\n","\u001b[K     |████████████████████████████████| 217.9MB 64kB/s \n","\u001b[?25hCollecting py4j==0.10.7\n","\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e3/53/c737818eb9a7dc32a7cd4f1396e787bd94200c3997c72c1dbe028587bd76/py4j-0.10.7-py2.py3-none-any.whl (197kB)\n","\u001b[K     |████████████████████████████████| 204kB 41.1MB/s \n","\u001b[?25hBuilding wheels for collected packages: pyspark\n","  Building wheel for pyspark (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for pyspark: filename=pyspark-2.4.7-py2.py3-none-any.whl size=218279465 sha256=8f156aa79c40e63cf65136ca310fbe9fab95b918cd4b7dac9d512f3294a50f55\n","  Stored in directory: /root/.cache/pip/wheels/34/1f/2e/1e7460f80acf26b08dbb8c53d7ff9e07146f2a68dd5c732be5\n","Successfully built pyspark\n","Installing collected packages: py4j, pyspark\n","Successfully installed py4j-0.10.7 pyspark-2.4.7\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"f4KkTfnR5Ugg"},"source":["# 2. Download French twitter  Sentiment dataset \n","https://www.kaggle.com/hbaflast/french-twitter-sentiment-analysis\n","#Context\n","\n","French dataset for sentiment analysis (Data translated from English to French)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OrVb5ZMvvrQD","executionInfo":{"status":"ok","timestamp":1613500175508,"user_tz":-300,"elapsed":95762,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"101c171e-07e7-400e-a9f5-bf8df5ffb46b"},"source":["! wget http://ckl-it.de/wp-content/uploads/2021/02/french_tweets.csv\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["--2021-02-16 18:28:31--  http://ckl-it.de/wp-content/uploads/2021/02/french_tweets.csv\n","Resolving ckl-it.de (ckl-it.de)... 217.160.0.108, 2001:8d8:100f:f000::209\n","Connecting to ckl-it.de (ckl-it.de)|217.160.0.108|:80... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 10237264 (9.8M) [text/csv]\n","Saving to: ‘french_tweets.csv’\n","\n","french_tweets.csv   100%[===================>]   9.76M  5.07MB/s    in 1.9s    \n","\n","2021-02-16 18:28:33 (5.07 MB/s) - ‘french_tweets.csv’ saved [10237264/10237264]\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":416},"id":"y4xSRWIhwT28","executionInfo":{"status":"ok","timestamp":1613500175515,"user_tz":-300,"elapsed":95756,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"d244e1f7-36f9-4078-dd2f-496faa965763"},"source":["import pandas as pd\n","train_path = '/content/french_tweets.csv'\n","\n","train_df = pd.read_csv(train_path)\n","# the text data to use for classification should be in a column named 'text'\n","columns=['text','y']\n","train_df = train_df[columns]\n","train_df = train_df.sample(frac=1).reset_index(drop=True)\n","train_df"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>y</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Nous avons apprécié la tournée en vélo du ...</td>\n","      <td>positive</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>&amp; Quot; retournez-vous sur le chagrin brisé, ...</td>\n","      <td>positive</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Le gagnant gagnant du prix a été créé pour...</td>\n","      <td>negative</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Est venu maintenant de l'école ... était tel...</td>\n","      <td>negative</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Dans la cuisine avec des hongrois, faisant du ...</td>\n","      <td>positive</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>99995</th>\n","      <td>Merci. Je ne pense pas que je serai un grand f...</td>\n","      <td>positive</td>\n","    </tr>\n","    <tr>\n","      <th>99996</th>\n","      <td>Je pense qu'ils étaient après que mon petit ...</td>\n","      <td>negative</td>\n","    </tr>\n","    <tr>\n","      <th>99997</th>\n","      <td>Oui, j'adore les Caramellow! Seulement deux jo...</td>\n","      <td>positive</td>\n","    </tr>\n","    <tr>\n","      <th>99998</th>\n","      <td>Je ne peux pas croire qu'elle soit éveillée ...</td>\n","      <td>negative</td>\n","    </tr>\n","    <tr>\n","      <th>99999</th>\n","      <td>4hours boom boom</td>\n","      <td>positive</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>100000 rows × 2 columns</p>\n","</div>"],"text/plain":["                                                    text         y\n","0      Nous avons apprécié la tournée en vélo du ...  positive\n","1      & Quot; retournez-vous sur le chagrin brisé, ...  positive\n","2      Le gagnant gagnant du prix a été créé pour...  negative\n","3      Est venu maintenant de l'école ... était tel...  negative\n","4      Dans la cuisine avec des hongrois, faisant du ...  positive\n","...                                                  ...       ...\n","99995  Merci. Je ne pense pas que je serai un grand f...  positive\n","99996  Je pense qu'ils étaient après que mon petit ...  negative\n","99997  Oui, j'adore les Caramellow! Seulement deux jo...  positive\n","99998  Je ne peux pas croire qu'elle soit éveillée ...  negative\n","99999                                   4hours boom boom  positive\n","\n","[100000 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":3}]},{"cell_type":"markdown","metadata":{"id":"0296Om2C5anY"},"source":["# 3. Train Deep Learning Classifier using nlu.load('train.sentiment')\n","\n","You dataset label column should be named 'y' and the feature column with text data should be named 'text'"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":654},"id":"mptfvHx-MMMX","executionInfo":{"status":"ok","timestamp":1613501658443,"user_tz":-300,"elapsed":1578674,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"d264cbe7-194f-41e4-9dd4-c876e5209525"},"source":["# Train longer!\n","trainable_pipe = nlu.load('xx.embed_sentence.labse train.sentiment')\n","trainable_pipe['sentiment_dl'].setMaxEpochs(60)  \n","trainable_pipe['sentiment_dl'].setLr(0.005) \n","fitted_pipe = trainable_pipe.fit(train_df.iloc[:2000])\n","# predict with the trainable pipeline on dataset and get predictions\n","preds = fitted_pipe.predict(train_df.iloc[:2000],output_level='document')\n","\n","#sentence detector that is part of the pipe generates sone NaNs. lets drop them first\n","preds.dropna(inplace=True)\n","print(classification_report(preds['y'], preds['sentiment']))\n","\n","preds"],"execution_count":null,"outputs":[{"output_type":"stream","text":["labse download started this may take some time.\n","Approximate size to download 1.7 GB\n","[OK!]\n","              precision    recall  f1-score   support\n","\n","    negative       0.88      0.94      0.91       980\n","    positive       0.94      0.88      0.91      1020\n","\n","    accuracy                           0.91      2000\n","   macro avg       0.91      0.91      0.91      2000\n","weighted avg       0.91      0.91      0.91      2000\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>y</th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Nous avons apprécié la tournée en vélo du ...</td>\n","      <td>positive</td>\n","      <td>[0.01069789007306099, -0.002380969701334834, -...</td>\n","      <td>positive</td>\n","      <td>Nous avons apprécié la tournée en vélo du ...</td>\n","      <td>0.999971</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>&amp; Quot; retournez-vous sur le chagrin brisé, ...</td>\n","      <td>positive</td>\n","      <td>[-0.04572410136461258, -0.04519180953502655, -...</td>\n","      <td>negative</td>\n","      <td>&amp; Quot; retournez-vous sur le chagrin brisé, ...</td>\n","      <td>0.999979</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Le gagnant gagnant du prix a été créé pour...</td>\n","      <td>negative</td>\n","      <td>[0.008320541121065617, -0.0072850980795919895,...</td>\n","      <td>negative</td>\n","      <td>Le gagnant gagnant du prix a été créé pour...</td>\n","      <td>0.999638</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Est venu maintenant de l'école ... était tel...</td>\n","      <td>negative</td>\n","      <td>[-0.035592492669820786, -0.05076301470398903, ...</td>\n","      <td>negative</td>\n","      <td>Est venu maintenant de l'école ... était tel...</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Dans la cuisine avec des hongrois, faisant du ...</td>\n","      <td>positive</td>\n","      <td>[0.01866792142391205, -0.06534530222415924, -0...</td>\n","      <td>positive</td>\n","      <td>Dans la cuisine avec des hongrois, faisant du ...</td>\n","      <td>0.999910</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1995</th>\n","      <td>Vous devez suivre - transmettez-le ...</td>\n","      <td>positive</td>\n","      <td>[0.0030759747605770826, -0.04513533040881157, ...</td>\n","      <td>positive</td>\n","      <td>Vous devez suivre - transmettez-le ...</td>\n","      <td>0.999833</td>\n","    </tr>\n","    <tr>\n","      <th>1996</th>\n","      <td>J'allais avoir ces pantalons gris luxuriants d...</td>\n","      <td>negative</td>\n","      <td>[-0.019949736073613167, 0.0064233033917844296,...</td>\n","      <td>negative</td>\n","      <td>J'allais avoir ces pantalons gris luxuriants d...</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>1997</th>\n","      <td>Juste \"quitter\" Les gens doivent dormir mainte...</td>\n","      <td>positive</td>\n","      <td>[-0.035448476672172546, -0.046279553323984146,...</td>\n","      <td>positive</td>\n","      <td>Juste \"quitter\" Les gens doivent dormir mainte...</td>\n","      <td>0.995777</td>\n","    </tr>\n","    <tr>\n","      <th>1998</th>\n","      <td>Je suis un oreiller court.</td>\n","      <td>negative</td>\n","      <td>[-0.03656604886054993, 0.0003994253638666123, ...</td>\n","      <td>negative</td>\n","      <td>Je suis un oreiller court.</td>\n","      <td>0.998347</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>- walker granny w.shoshorts crainte</td>\n","      <td>negative</td>\n","      <td>[-0.003210075432434678, -0.07238200306892395, ...</td>\n","      <td>negative</td>\n","      <td>- walker granny w.shoshorts crainte</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2000 rows × 6 columns</p>\n","</div>"],"text/plain":["                                                           text  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             Nous avons apprécié la tournée en vélo du ...  ...             0.999971\n","1             & Quot; retournez-vous sur le chagrin brisé, ...  ...             0.999979\n","2             Le gagnant gagnant du prix a été créé pour...  ...             0.999638\n","3             Est venu maintenant de l'école ... était tel...  ...             1.000000\n","4             Dans la cuisine avec des hongrois, faisant du ...  ...             0.999910\n","...                                                         ...  ...                  ...\n","1995                     Vous devez suivre - transmettez-le ...  ...             0.999833\n","1996          J'allais avoir ces pantalons gris luxuriants d...  ...             1.000000\n","1997          Juste \"quitter\" Les gens doivent dormir mainte...  ...             0.995777\n","1998                                 Je suis un oreiller court.  ...             0.998347\n","1999                        - walker granny w.shoshorts crainte  ...             1.000000\n","\n","[2000 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":4}]},{"cell_type":"markdown","metadata":{"id":"lVyOE2wV0fw_"},"source":["# Test the fitted pipe on new example"]},{"cell_type":"markdown","metadata":{"id":"RjtuNUcvuJTT"},"source":["# The Model understand Englsih\r\n","![en](https://www.worldometers.info/img/flags/small/tn_nz-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"o0vu7PaWkcI7","executionInfo":{"status":"ok","timestamp":1613501661977,"user_tz":-300,"elapsed":1582197,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"f99f9f9d-f5f5-49cd-a8a2-a655a2b9d1c6"},"source":["fitted_pipe.predict(\"This was awful!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[0.034723345190286636, -0.06212149187922478, -...</td>\n","      <td>negative</td>\n","      <td>This was awful!</td>\n","      <td>0.999652</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [0.034723345190286636, -0.06212149187922478, -...  ...             0.999652\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":5}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"1ykjRQhCtQ4w","executionInfo":{"status":"ok","timestamp":1613501665052,"user_tz":-300,"elapsed":1585259,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"433cc76c-af68-4308-b6a0-8b86435f29da"},"source":["fitted_pipe.predict(\"This was great!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[0.03868240490555763, -0.058592554181814194, -...</td>\n","      <td>positive</td>\n","      <td>This was great!</td>\n","      <td>0.999994</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [0.03868240490555763, -0.058592554181814194, -...  ...             0.999994\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":6}]},{"cell_type":"markdown","metadata":{"id":"vohym-XbuNHn"},"source":["# The Model understands German\r\n","![de](https://www.worldometers.info/img/flags/small/tn_gm-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"dzaaZrI4tVWc","executionInfo":{"status":"ok","timestamp":1613501675567,"user_tz":-300,"elapsed":4240,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"6a5f31a3-8438-4860-d17b-b4135a391cab"},"source":["# German for:' this movie was great!'\n","fitted_pipe.predict(\"Der Film war echt klasse!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.015189268626272678, -0.04834830388426781, ...</td>\n","      <td>positive</td>\n","      <td>Der Film war echt klasse!</td>\n","      <td>0.999732</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.015189268626272678, -0.04834830388426781, ...  ...             0.999732\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":8}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"BbhgTSBGtTtJ","executionInfo":{"status":"ok","timestamp":1613501764963,"user_tz":-300,"elapsed":4260,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"ee0b2fdf-ea41-4b99-dbc4-690e47556e38"},"source":["# German for: 'This movie was really boring'\n","fitted_pipe.predict(\"Der Film war echt langweilig!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.013573350384831429, -0.05144454166293144, ...</td>\n","      <td>negative</td>\n","      <td>Der Film war echt langweilig!</td>\n","      <td>0.999968</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.013573350384831429, -0.05144454166293144, ...  ...             0.999968\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":9}]},{"cell_type":"markdown","metadata":{"id":"a1JbtmWquQwj"},"source":["# The Model understands Chinese\r\n","![zh](https://www.worldometers.info/img/flags/small/tn_ch-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"kYSYqtoRtc-P","executionInfo":{"status":"ok","timestamp":1613501767513,"user_tz":-300,"elapsed":6463,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"e7de8c84-d564-4c0f-f110-62334aa3ba3c"},"source":["# Chinese for: \"This model was awful!\"\n","fitted_pipe.predict(\"这部电影太糟糕了！\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.05075530335307121, -0.061598796397447586, ...</td>\n","      <td>negative</td>\n","      <td>这部电影太糟糕了！</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.05075530335307121, -0.061598796397447586, ...  ...             1.000000\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":10}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"06v9SD-QtlBU","executionInfo":{"status":"ok","timestamp":1613501771082,"user_tz":-300,"elapsed":9890,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"7b3ed8e3-3d64-42ae-98f9-12ac8f931b51"},"source":["# Chine for : \"This move was great!\"\n","fitted_pipe.predict(\"此举很棒！\")\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[0.026034891605377197, -0.06586713343858719, -...</td>\n","      <td>positive</td>\n","      <td>此举很棒！</td>\n","      <td>0.999995</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [0.026034891605377197, -0.06586713343858719, -...  ...             0.999995\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":11}]},{"cell_type":"markdown","metadata":{"id":"9h7CvN4uu9Pb"},"source":["# Model understanda Afrikaans\r\n","\r\n","![af](https://www.worldometers.info/img/flags/small/tn_sf-flag.gif)\r\n","\r\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"VMPhbgw9twtf","executionInfo":{"status":"ok","timestamp":1613501774081,"user_tz":-300,"elapsed":12532,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"e8e2f16e-c7d7-4c76-8a7d-e11fdac1ff16"},"source":["# Afrikaans for 'This movie was amazing!'\n","fitted_pipe.predict(\"Hierdie film was ongelooflik!\")\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.019771253690123558, -0.02687731385231018, ...</td>\n","      <td>positive</td>\n","      <td>Hierdie film was ongelooflik!</td>\n","      <td>0.857431</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.019771253690123558, -0.02687731385231018, ...  ...             0.857431\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":12}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"zWgNTIdkumhX","executionInfo":{"status":"ok","timestamp":1613501777118,"user_tz":-300,"elapsed":15463,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"6ec3643a-5729-4f52-cc64-e1ee58a2f9d6"},"source":["# Afrikaans for :'The movie made me fall asleep, it's awful!'\n","fitted_pipe.predict('Die film het my aan die slaap laat raak, dit is verskriklik!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.05065516009926796, -0.017065495252609253, ...</td>\n","      <td>negative</td>\n","      <td>Die film het my aan die slaap laat raak, dit i...</td>\n","      <td>0.999985</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.05065516009926796, -0.017065495252609253, ...  ...             0.999985\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":13}]},{"cell_type":"markdown","metadata":{"id":"rSEPkC-Bwnpg"},"source":["# The model understands Vietnamese\r\n","![vi](https://www.worldometers.info/img/flags/small/tn_vm-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"wCcTS5gIu511","executionInfo":{"status":"ok","timestamp":1613501780065,"user_tz":-300,"elapsed":18047,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"d545032e-0f0d-4660-ddc3-dcc81dd342b4"},"source":["# Vietnamese for : 'The movie was painful to watch'\n","fitted_pipe.predict('Phim đau điếng người xem')\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.05414637178182602, 0.041687943041324615, -...</td>\n","      <td>negative</td>\n","      <td>Phim đau điếng người xem</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.05414637178182602, 0.041687943041324615, -...  ...             1.000000\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":14}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"M6giDPK-wm2G","executionInfo":{"status":"ok","timestamp":1613501782955,"user_tz":-300,"elapsed":20769,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"4eb90934-b40c-497e-f15c-1060c13ea075"},"source":["\n","# Vietnamese for : 'This was the best movie ever'\n","fitted_pipe.predict('Đây là bộ phim hay nhất từ ​​trước đến nay')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.035795845091342926, -0.005844905506819487,...</td>\n","      <td>neutral</td>\n","      <td>Đây là bộ phim hay nhất từ ​​trước đến nay</td>\n","      <td>0.582394</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.035795845091342926, -0.005844905506819487,...  ...             0.582394\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"markdown","metadata":{"id":"IlkmAaMoxTuy"},"source":["# The model understands Japanese\r\n","![ja](https://www.worldometers.info/img/flags/small/tn_ja-flag.gif)\r\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"1IfJu3q8wwUt","executionInfo":{"status":"ok","timestamp":1613501785991,"user_tz":-300,"elapsed":23016,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"c6d7ad98-d6f3-4baa-b323-2c7b22e9538e"},"source":["\n","# Japanese for : 'This is now my favorite movie!'\n","fitted_pipe.predict('これが私のお気に入りの映画です！')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.00634439941495657, -0.03161682188510895, -...</td>\n","      <td>positive</td>\n","      <td>これが私のお気に入りの映画です！</td>\n","      <td>0.999911</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.00634439941495657, -0.03161682188510895, -...  ...             0.999911\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":16}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"h3k7_PFhxOve","executionInfo":{"status":"ok","timestamp":1613501789195,"user_tz":-300,"elapsed":25994,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"5278b9a0-b621-4922-ab7d-3dd1709ca616"},"source":["\n","# Japanese for : 'I would rather kill myself than watch that movie again'\n","fitted_pipe.predict('その映画をもう一度見るよりも自殺したい')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.04823154956102371, -0.03692080080509186, -...</td>\n","      <td>negative</td>\n","      <td>その映画をもう一度見るよりも自殺したい</td>\n","      <td>0.999901</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.04823154956102371, -0.03692080080509186, -...  ...             0.999901\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":17}]},{"cell_type":"markdown","metadata":{"id":"GITfT7FK0CGv"},"source":["# The model understands Zulu\r\n","![zu](https://www.worldometers.info/img/flags/small/tn_sf-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"6uelDwq4xdWv","executionInfo":{"status":"ok","timestamp":1613501791881,"user_tz":-300,"elapsed":27733,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"5780133c-d1b1-4b34-c788-b7a087c510ae"},"source":["# Zulu for : 'This movie was crazy good!'\n","fitted_pipe.predict('Le movie yayihlanya kahle!')\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.030427439138293266, -0.03501792252063751, ...</td>\n","      <td>positive</td>\n","      <td>Le movie yayihlanya kahle!</td>\n","      <td>0.997382</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.030427439138293266, -0.03501792252063751, ...  ...             0.997382\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":18}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"DKnrkkXzzpd5","executionInfo":{"status":"ok","timestamp":1613501795386,"user_tz":-300,"elapsed":31090,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"4393c361-f5fc-49e8-a516-e4eeab861f8f"},"source":["# Zulu for : 'This movie was awful!'\n","fitted_pipe.predict('Le movie yayikhona kabi!')\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.04461972787976265, -0.04466915875673294, -...</td>\n","      <td>negative</td>\n","      <td>Le movie yayikhona kabi!</td>\n","      <td>0.999999</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.04461972787976265, -0.04466915875673294, -...  ...             0.999999\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":19}]},{"cell_type":"markdown","metadata":{"id":"VGVvzl_30a0T"},"source":["# The  Model understands Turkish\r\n","![tr](https://www.worldometers.info/img/flags/small/tn_tu-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"DRNnuEeQz2pd","executionInfo":{"status":"ok","timestamp":1613501797936,"user_tz":-300,"elapsed":33015,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"3ea6f6fa-f7f1-455b-a1c2-436117f6bd1a"},"source":["# Turkish for : 'This movie was awful!'\n","fitted_pipe.predict('Bu film korkunç!')\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.028751200065016747, -0.053898535668849945,...</td>\n","      <td>negative</td>\n","      <td>Bu film korkunç!</td>\n","      <td>0.992688</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.028751200065016747, -0.053898535668849945,...  ...             0.992688\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":20}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"aOSsiK6J0jWs","executionInfo":{"status":"ok","timestamp":1613501800608,"user_tz":-300,"elapsed":35508,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"ce61978e-abea-49fb-cdcd-ecd57e4736c4"},"source":["# Turkish for : 'This movie was great!'\n","fitted_pipe.predict('Bu film harikaydı!')\n","\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.024503983557224274, -0.046942222863435745,...</td>\n","      <td>positive</td>\n","      <td>Bu film harikaydı!</td>\n","      <td>0.999670</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.024503983557224274, -0.046942222863435745,...  ...             0.999670\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":21}]},{"cell_type":"markdown","metadata":{"id":"803qL2gt0vlb"},"source":["#  The Model understands Hebrew\r\n","![he](https://www.worldometers.info/img/flags/small/tn_sf-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"XQ5VCtxw0pc0","executionInfo":{"status":"ok","timestamp":1613501803170,"user_tz":-300,"elapsed":37006,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"f1098443-43ee-4bfe-dd3c-44cde6daef49"},"source":["# Hebrew for : 'This movie was terrible!'\n","fitted_pipe.predict('הסרט הזה היה נורא!')\n","\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.039289794862270355, -0.05739438533782959, ...</td>\n","      <td>negative</td>\n","      <td>הסרט הזה היה נורא!</td>\n","      <td>0.999999</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.039289794862270355, -0.05739438533782959, ...  ...             0.999999\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"9w2ZHfns05A4","executionInfo":{"status":"ok","timestamp":1613501805729,"user_tz":-300,"elapsed":39152,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"f2782765-1dcd-4303-8c50-d82bd6e3f188"},"source":["# Hebrew for : 'This movie was great!'\n","fitted_pipe.predict('הסרט הזה היה נהדר')\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.03808611258864403, -0.04728467017412186, -...</td>\n","      <td>positive</td>\n","      <td>הסרט הזה היה נהדר</td>\n","      <td>0.927435</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.03808611258864403, -0.04728467017412186, -...  ...             0.927435\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":23}]},{"cell_type":"markdown","metadata":{"id":"SDlpd33H1HIX"},"source":["# The Model understands Telugu\r\n","![te](https://www.worldometers.info/img/flags/small/tn_in-flag.gif)\r\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"Kc5n1bzv1BJT","executionInfo":{"status":"ok","timestamp":1613501808161,"user_tz":-300,"elapsed":40413,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"f2e26b53-e7c2-43ed-c25f-09d6b306978a"},"source":["# Telugu for : 'This movie was great!'\n","fitted_pipe.predict('ఈ సినిమా చాలా బాగుంది')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.048749782145023346, -0.04968753829598427, ...</td>\n","      <td>positive</td>\n","      <td>ఈ సినిమా చాలా బాగుంది</td>\n","      <td>0.977772</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.048749782145023346, -0.04968753829598427, ...  ...             0.977772\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":24}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"-l-u6vrz1Obe","executionInfo":{"status":"ok","timestamp":1613501810998,"user_tz":-300,"elapsed":42650,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"4d86654f-663e-4a4a-d967-0ed43a14c330"},"source":["# Telgu for : 'This movie was awful!'\n","fitted_pipe.predict('ఈ సినిమా భయంకరంగా ఉంది')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.049310874193906784, -0.03890344500541687, ...</td>\n","      <td>negative</td>\n","      <td>ఈ సినిమా భయంకరంగా ఉంది</td>\n","      <td>0.999998</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.049310874193906784, -0.03890344500541687, ...  ...             0.999998\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":25}]},{"cell_type":"markdown","metadata":{"id":"nziBUe8t1Zwn"},"source":["# Model understands Russian\r\n","![ru](https://www.worldometers.info/img/flags/small/tn_rs-flag.gif)\r\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"Ckyjl3YQ1VFn","executionInfo":{"status":"ok","timestamp":1613501813537,"user_tz":-300,"elapsed":43585,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"08bb1065-04b8-4fe6-d8e7-769f84dad23e"},"source":["# Russian for : 'This movie was awful!'\n","fitted_pipe.predict('Этот фильм был ужасен')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.04450640082359314, -0.0344516783952713, -0...</td>\n","      <td>negative</td>\n","      <td>Этот фильм был ужасен</td>\n","      <td>0.999997</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.04450640082359314, -0.0344516783952713, -0...  ...             0.999997\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":26}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"GIdWkfGv1gFz","executionInfo":{"status":"ok","timestamp":1613501816137,"user_tz":-300,"elapsed":46003,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"e2a27dc2-2680-4b04-c188-32fe5d641b48"},"source":["# Russian for : 'This movie was great!'\n","fitted_pipe.predict('Этот фильм был отличным!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.03249521926045418, -0.04056306555867195, -...</td>\n","      <td>positive</td>\n","      <td>Этот фильм был отличным!</td>\n","      <td>0.999809</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.03249521926045418, -0.04056306555867195, -...  ...             0.999809\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":27}]},{"cell_type":"markdown","metadata":{"id":"8R1j9mwz2Cm4"},"source":["# Model understands Urdu\r\n","![ur](https://www.worldometers.info/img/flags/small/tn_pk-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"j4zwvRV11pcG","executionInfo":{"status":"ok","timestamp":1613501818684,"user_tz":-300,"elapsed":47511,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"acfe66c0-f41a-457a-fec9-b9ba88f1f227"},"source":["# Urdu for : 'This movie was terrible!'\n","fitted_pipe.predict('یہ فلم خوفناک تھی!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.029061075299978256, -0.04819677397608757, ...</td>\n","      <td>negative</td>\n","      <td>یہ فلم خوفناک تھی!</td>\n","      <td>0.999003</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.029061075299978256, -0.04819677397608757, ...  ...             0.999003\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":28}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"SxzTuK4b2UKV","executionInfo":{"status":"ok","timestamp":1613501821606,"user_tz":-300,"elapsed":50270,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"4b85ac1a-6076-47a8-ca3c-3c943484baaf"},"source":["# Urdu for : 'This movie was great!'\n","fitted_pipe.predict('یہ فلم زبردست تھی!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.023109590634703636, -0.047220949083566666,...</td>\n","      <td>positive</td>\n","      <td>یہ فلم زبردست تھی!</td>\n","      <td>0.998908</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.023109590634703636, -0.047220949083566666,...  ...             0.998908\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":29}]},{"cell_type":"markdown","metadata":{"id":"RoNg-C3k1qcX"},"source":["# Model understands Hindi\r\n","![hi](https://www.worldometers.info/img/flags/small/tn_in-flag.gif)\r\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"QZ9RT5Wv1r1n","executionInfo":{"status":"ok","timestamp":1613501823871,"user_tz":-300,"elapsed":51266,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"9759f388-4208-4595-d940-cbeccaf9e323"},"source":["# Hindi for : 'This movie was great!'\n","fitted_pipe.predict('यह फिल्म बहुत अच्छी थी!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.032199472188949585, -0.05085251107811928, ...</td>\n","      <td>positive</td>\n","      <td>यह फिल्म बहुत अच्छी थी!</td>\n","      <td>0.999490</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.032199472188949585, -0.05085251107811928, ...  ...             0.999490\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":30}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"quM-IL2i12-B","executionInfo":{"status":"ok","timestamp":1613501826203,"user_tz":-300,"elapsed":53460,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"2ccbae07-6979-41ec-b637-cbfa561dba2f"},"source":["# Hindi for : 'This movie was awful!'\n","fitted_pipe.predict('यह फिल्म भयानक थी!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.034289486706256866, -0.04929641634225845, ...</td>\n","      <td>negative</td>\n","      <td>यह फिल्म भयानक थी!</td>\n","      <td>0.999892</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.034289486706256866, -0.04929641634225845, ...  ...             0.999892\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":31}]},{"cell_type":"markdown","metadata":{"id":"R4ByHOZn35Lc"},"source":["# The model understands Tartar\r\n","![tt](https://www.worldometers.info/img/flags/small/tn_rs-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"2JrzusSQ18F5","executionInfo":{"status":"ok","timestamp":1613501828691,"user_tz":-300,"elapsed":55061,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"6d9e49d1-7558-47fe-9851-7ad77b4142f1"},"source":["# Tartar for : 'This movie was terrible!'\n","fitted_pipe.predict('Бу фильм бик куркыныч иде!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.004161511082202196, -0.04973788559436798, ...</td>\n","      <td>negative</td>\n","      <td>Бу фильм бик куркыныч иде!</td>\n","      <td>0.978463</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.004161511082202196, -0.04973788559436798, ...  ...             0.978463\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":32}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"J06Xm_Ln4AYu","executionInfo":{"status":"ok","timestamp":1613501831362,"user_tz":-300,"elapsed":57333,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"ea83d0ea-315e-46cb-e69f-af2431fe4314"},"source":["# Tartar for : 'This movie was great!'\n","fitted_pipe.predict('Бу фильм бик яхшы иде!')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.013760939240455627, -0.04871012270450592, ...</td>\n","      <td>positive</td>\n","      <td>Бу фильм бик яхшы иде!</td>\n","      <td>0.999856</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.013760939240455627, -0.04871012270450592, ...  ...             0.999856\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":33}]},{"cell_type":"markdown","metadata":{"id":"HKj5yWwwMplH"},"source":["# The Model understand French\r\n","![fr](https://www.worldometers.info/img/flags/small/tn_fr-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"CUHcJZfJMplL","executionInfo":{"status":"ok","timestamp":1613501856348,"user_tz":-300,"elapsed":3787,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"fa574cfe-680c-46a9-8d9c-f477a091eb24"},"source":["# French for : 'This movie was awful!'\r\n","fitted_pipe.predict(\"ce film était horrible!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.009465612471103668, -0.047107480466365814,...</td>\n","      <td>negative</td>\n","      <td>ce film était horrible!</td>\n","      <td>0.998248</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.009465612471103668, -0.047107480466365814,...  ...             0.998248\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":35}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"57NY2XoTMplM","executionInfo":{"status":"ok","timestamp":1613501909076,"user_tz":-300,"elapsed":3396,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"f15667a1-8006-487b-b23d-de3278c26e45"},"source":["# French for : 'This movie was great!'\r\n","fitted_pipe.predict(\"Ce film était super!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.013595575466752052, -0.03535566106438637, ...</td>\n","      <td>positive</td>\n","      <td>Ce film était super!</td>\n","      <td>0.999953</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.013595575466752052, -0.03535566106438637, ...  ...             0.999953\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":36}]},{"cell_type":"markdown","metadata":{"id":"jD2TBgT0Nq6F"},"source":["# The Model understand Thai\r\n","![th](https://www.worldometers.info/img/flags/small/tn_th-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"ICp_qoAhNq6Q","executionInfo":{"status":"ok","timestamp":1613502055195,"user_tz":-300,"elapsed":3353,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"78a7f29c-112d-43d0-bf13-6047bec0f206"},"source":["# Thai for : 'This movie was awful!'\r\n","fitted_pipe.predict(\"หนังเรื่องนี้แย่มาก!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.05294188857078552, -0.05707262083888054, -...</td>\n","      <td>negative</td>\n","      <td>หนังเรื่องนี้แย่มาก!</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.05294188857078552, -0.05707262083888054, -...  ...             1.000000\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":39}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"gBp11S5GNq6S","executionInfo":{"status":"ok","timestamp":1613502039193,"user_tz":-300,"elapsed":3357,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"8ce22056-da33-464e-bda7-784af153103b"},"source":["# Thai for : 'This movie was great!'\r\n","fitted_pipe.predict(\"ภาพยนตร์เรื่องนี้ยอดเยี่ยมมาก!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.03887835890054703, -0.05457264930009842, -...</td>\n","      <td>positive</td>\n","      <td>ภาพยนตร์เรื่องนี้ยอดเยี่ยมมาก!</td>\n","      <td>0.999704</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.03887835890054703, -0.05457264930009842, -...  ...             0.999704\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":38}]},{"cell_type":"markdown","metadata":{"id":"mLItI4KZOElB"},"source":["# The Model understand Khmer\r\n","![km](https://www.worldometers.info/img/flags/small/tn_cb-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"Fxh1gasROElC","executionInfo":{"status":"ok","timestamp":1613502247566,"user_tz":-300,"elapsed":3662,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"d1cabb7c-5cd5-4497-d6a2-9420b08cd862"},"source":["# Khmer for : 'This movie was awful!'\r\n","fitted_pipe.predict(\"ខ្សែភាពយន្តនេះគួរឱ្យខ្លាចណាស់!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.0342087522149086, -0.056378308683633804, -...</td>\n","      <td>negative</td>\n","      <td>ខ្សែភាពយន្តនេះគួរឱ្យខ្លាចណាស់!</td>\n","      <td>0.999918</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.0342087522149086, -0.056378308683633804, -...  ...             0.999918\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":42}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"SWbqMgAwOElC","executionInfo":{"status":"ok","timestamp":1613502240422,"user_tz":-300,"elapsed":3504,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"e506a65f-6c52-441e-9d19-549c80202410"},"source":["# Khmer for : 'This movie was great!'\r\n","fitted_pipe.predict(\"ខ្សែភាពយន្តនេះអស្ចារ្យណាស់!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.04440384730696678, -0.05587802827358246, -...</td>\n","      <td>positive</td>\n","      <td>ខ្សែភាពយន្តនេះអស្ចារ្យណាស់!</td>\n","      <td>0.999101</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.04440384730696678, -0.05587802827358246, -...  ...             0.999101\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":41}]},{"cell_type":"markdown","metadata":{"id":"lvE-LbNiPoBT"},"source":["# The Model understand Yiddish\r\n","![yi](https://www.worldometers.info/img/flags/small/tn_pl-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"sZlmLhajPoBb","executionInfo":{"status":"ok","timestamp":1613505095074,"user_tz":-300,"elapsed":4168,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"a73babfc-cc75-4eb4-d0f8-a786a5eeeae7"},"source":["# Yiddish for : 'This movie was awful!'\r\n","fitted_pipe.predict(\"דער פֿילם איז געווען שרעקלעך!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.035583771765232086, -0.04656125232577324, ...</td>\n","      <td>negative</td>\n","      <td>דער פֿילם איז געווען שרעקלעך!</td>\n","      <td>0.999930</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.035583771765232086, -0.04656125232577324, ...  ...             0.999930\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":44}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"5h-pha_nPoBc","executionInfo":{"status":"ok","timestamp":1613505109334,"user_tz":-300,"elapsed":3426,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"01bb10da-ed9c-4b1a-d97a-b581474307d6"},"source":["# Yiddish for : 'This movie was great!'\r\n","fitted_pipe.predict(\"דער פֿילם איז געווען גרויס!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.032495900988578796, -0.0436769500374794, -...</td>\n","      <td>positive</td>\n","      <td>דער פֿילם איז געווען גרויס!</td>\n","      <td>0.999317</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.032495900988578796, -0.0436769500374794, -...  ...             0.999317\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":45}]},{"cell_type":"markdown","metadata":{"id":"XSz4WzScaAHj"},"source":["# The Model understand Kygrgyz\r\n","![ky](https://www.worldometers.info/img/flags/small/tn_kg-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":105},"id":"DXz6fhJSaAHu","executionInfo":{"status":"ok","timestamp":1613505095074,"user_tz":-300,"elapsed":4168,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"a73babfc-cc75-4eb4-d0f8-a786a5eeeae7"},"source":["# Kygrgyz for : 'This movie was awful!'\r\n","fitted_pipe.predict(\"Бул кино аябай жаман болду!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.035583771765232086, -0.04656125232577324, ...</td>\n","      <td>negative</td>\n","      <td>דער פֿילם איז געווען שרעקלעך!</td>\n","      <td>0.999930</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.035583771765232086, -0.04656125232577324, ...  ...             0.999930\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":44}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"lh_ZSHlPaAHv","executionInfo":{"status":"ok","timestamp":1613505465838,"user_tz":-300,"elapsed":3357,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"565cc7f6-7ec7-411a-baeb-c9470f5df802"},"source":["# Kygrgyz for : 'This movie was great!'\r\n","fitted_pipe.predict(\"Бул кино сонун болду!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.006650532130151987, -0.0518440380692482, -...</td>\n","      <td>positive</td>\n","      <td>Бул кино сонун болду!</td>\n","      <td>0.999928</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.006650532130151987, -0.0518440380692482, -...  ...             0.999928\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":46}]},{"cell_type":"markdown","metadata":{"id":"DGMVMKaTdJFj"},"source":["# The Model understand Tamil\r\n","![ta](https://www.worldometers.info/img/flags/small/tn_in-flag.gif)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"JWDr_LoCdJFn","executionInfo":{"status":"ok","timestamp":1613506100672,"user_tz":-300,"elapsed":3405,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"d9191197-f155-426f-cf7a-fbe8d924fa80"},"source":["# Tamil for : 'This movie was awful!'\r\n","fitted_pipe.predict(\"இந்த படம் மோசமாக இருந்தது!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.04690176621079445, -0.04683435335755348, -...</td>\n","      <td>negative</td>\n","      <td>இந்த படம் மோசமாக இருந்தது!</td>\n","      <td>0.999973</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.04690176621079445, -0.04683435335755348, -...  ...             0.999973\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":48}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"Q6C0BmTtdJFp","executionInfo":{"status":"ok","timestamp":1613506086582,"user_tz":-300,"elapsed":3493,"user":{"displayName":"ahmed lone","photoUrl":"","userId":"02458088882398909889"}},"outputId":"cc10a447-e0a0-4f18-c422-6052c100046b"},"source":["# Tamil for : 'இந்த படம் நன்றாக இருந்தது!'\r\n","fitted_pipe.predict(\"Бул кино сонун болду!\")"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>xx_embed_sentence_labse_embeddings</th>\n","      <th>sentiment</th>\n","      <th>document</th>\n","      <th>sentiment_confidence</th>\n","    </tr>\n","    <tr>\n","      <th>origin_index</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[-0.006650532130151987, -0.0518440380692482, -...</td>\n","      <td>positive</td>\n","      <td>Бул кино сонун болду!</td>\n","      <td>0.999928</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                             xx_embed_sentence_labse_embeddings  ... sentiment_confidence\n","origin_index                                                     ...                     \n","0             [-0.006650532130151987, -0.0518440380692482, -...  ...             0.999928\n","\n","[1 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":47}]},{"cell_type":"code","metadata":{"id":"05Q2BWSIdPfU"},"source":[""],"execution_count":null,"outputs":[]}]}
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