Sentiment Analysis is the process of analysis of a the polarity in a given text or document. We have created a binary classifier using BI-LSTM which can classify a given product review between the classes Positive and Negative.
We have used GloVe for extracting the word embeddings of our corpus and a simple BI-LSTM Model to classify the polarity of the review.
The Pytorch framework was used to create our BI-LSTM model.
- sklearn
- numpy
- Pytorch
- nltk