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Sentiment Analysis using an LSTM model. Implemented using Tensorflow

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sentiment-analysis

This project is intended to perform sentiment analysis on the english corpus of the IITB english-hindi translation corpus.

Following steps have been implemented for this purpose

  • Preprocess the data - This includes removal of stopwords etc.
  • Build the LSTM model
  • Train the LSTM model - for this purpose, we have used the labelled data in the training_data.csv file as the corpus itself does not have the sentiments associated with each sentence
  • Perform the sentiment analysis on the english corpus

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Sentiment Analysis using an LSTM model. Implemented using Tensorflow

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