From 59df0bc32759656112de22c3731219742347bdb8 Mon Sep 17 00:00:00 2001 From: Christian Kasim Loan Date: Wed, 17 Feb 2021 20:18:47 +0100 Subject: [PATCH] Delete 5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb --- ...timent_classifier_training_for_over_100_languages.ipynb.ipynb | 1 - 1 file changed, 1 deletion(-) delete mode 100644 examples/webinars_conferences_etc/multi_lingual_webinar/5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb 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 deleted file mode 100644 index bb4bf4e4..00000000 --- a/examples/webinars_conferences_etc/multi_lingual_webinar/5_multi_lingual_sentiment_classifier_training_for_over_100_languages.ipynb.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"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":["
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texty
0Nous avons apprécié la tournée en vélo du ...positive
1& Quot; retournez-vous sur le chagrin brisé, ...positive
2Le gagnant gagnant du prix a été créé pour...negative
3Est venu maintenant de l'école ... était tel...negative
4Dans la cuisine avec des hongrois, faisant du ...positive
.........
99995Merci. Je ne pense pas que je serai un grand f...positive
99996Je pense qu'ils étaient après que mon petit ...negative
99997Oui, j'adore les Caramellow! Seulement deux jo...positive
99998Je ne peux pas croire qu'elle soit éveillée ...negative
999994hours boom boompositive
\n","

100000 rows × 2 columns

\n","
"],"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":["
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textyxx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0Nous avons apprécié la tournée en vélo du ...positive[0.01069789007306099, -0.002380969701334834, -...positiveNous avons apprécié la tournée en vélo du ...0.999971
1& Quot; retournez-vous sur le chagrin brisé, ...positive[-0.04572410136461258, -0.04519180953502655, -...negative& Quot; retournez-vous sur le chagrin brisé, ...0.999979
2Le gagnant gagnant du prix a été créé pour...negative[0.008320541121065617, -0.0072850980795919895,...negativeLe gagnant gagnant du prix a été créé pour...0.999638
3Est venu maintenant de l'école ... était tel...negative[-0.035592492669820786, -0.05076301470398903, ...negativeEst venu maintenant de l'école ... était tel...1.000000
4Dans la cuisine avec des hongrois, faisant du ...positive[0.01866792142391205, -0.06534530222415924, -0...positiveDans la cuisine avec des hongrois, faisant du ...0.999910
.....................
1995Vous devez suivre - transmettez-le ...positive[0.0030759747605770826, -0.04513533040881157, ...positiveVous devez suivre - transmettez-le ...0.999833
1996J'allais avoir ces pantalons gris luxuriants d...negative[-0.019949736073613167, 0.0064233033917844296,...negativeJ'allais avoir ces pantalons gris luxuriants d...1.000000
1997Juste \"quitter\" Les gens doivent dormir mainte...positive[-0.035448476672172546, -0.046279553323984146,...positiveJuste \"quitter\" Les gens doivent dormir mainte...0.995777
1998Je suis un oreiller court.negative[-0.03656604886054993, 0.0003994253638666123, ...negativeJe suis un oreiller court.0.998347
1999- walker granny w.shoshorts craintenegative[-0.003210075432434678, -0.07238200306892395, ...negative- walker granny w.shoshorts crainte1.000000
\n","

2000 rows × 6 columns

\n","
"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[0.034723345190286636, -0.06212149187922478, -...negativeThis was awful!0.999652
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[0.03868240490555763, -0.058592554181814194, -...positiveThis was great!0.999994
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.015189268626272678, -0.04834830388426781, ...positiveDer Film war echt klasse!0.999732
\n","
"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.013573350384831429, -0.05144454166293144, ...negativeDer Film war echt langweilig!0.999968
\n","
"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.05075530335307121, -0.061598796397447586, ...negative这部电影太糟糕了！1.000000
\n","
"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[0.026034891605377197, -0.06586713343858719, -...positive此举很棒！0.999995
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.019771253690123558, -0.02687731385231018, ...positiveHierdie film was ongelooflik!0.857431
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.05065516009926796, -0.017065495252609253, ...negativeDie film het my aan die slaap laat raak, dit i...0.999985
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.05414637178182602, 0.041687943041324615, -...negativePhim đau điếng người xem1.000000
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.035795845091342926, -0.005844905506819487,...neutralĐây là bộ phim hay nhất từ ​​trước đến nay0.582394
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.00634439941495657, -0.03161682188510895, -...positiveこれが私のお気に入りの映画です！0.999911
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.04823154956102371, -0.03692080080509186, -...negativeその映画をもう一度見るよりも自殺したい0.999901
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.030427439138293266, -0.03501792252063751, ...positiveLe movie yayihlanya kahle!0.997382
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.04461972787976265, -0.04466915875673294, -...negativeLe movie yayikhona kabi!0.999999
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.028751200065016747, -0.053898535668849945,...negativeBu film korkunç!0.992688
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.024503983557224274, -0.046942222863435745,...positiveBu film harikaydı!0.999670
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.039289794862270355, -0.05739438533782959, ...negativeהסרט הזה היה נורא!0.999999
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.03808611258864403, -0.04728467017412186, -...positiveהסרט הזה היה נהדר0.927435
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.048749782145023346, -0.04968753829598427, ...positiveఈ సినిమా చాలా బాగుంది0.977772
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.049310874193906784, -0.03890344500541687, ...negativeఈ సినిమా భయంకరంగా ఉంది0.999998
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.04450640082359314, -0.0344516783952713, -0...negativeЭтот фильм был ужасен0.999997
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.03249521926045418, -0.04056306555867195, -...positiveЭтот фильм был отличным!0.999809
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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0[-0.035583771765232086, -0.04656125232577324, ...negativeדער פֿילם איז געווען שרעקלעך!0.999930
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
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0[-0.006650532130151987, -0.0518440380692482, -...positiveБул кино сонун болду!0.999928
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.04690176621079445, -0.04683435335755348, -...negativeஇந்த படம் மோசமாக இருந்தது!0.999973
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"],"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":["
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xx_embed_sentence_labse_embeddingssentimentdocumentsentiment_confidence
origin_index
0[-0.006650532130151987, -0.0518440380692482, -...positiveБул кино сонун болду!0.999928
\n","
"],"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":[]}]} \ No newline at end of file