Sentiment-classification

• Projects on Sentiment classification.

• Requirements: Python 3

• pandas

• numpy

• matplotlib

• tensorflow

• keras tensorflow api and keras backend

• The classification.ipynb file holds the sentiment classification model on collected tweets. the tp_sentiment_analysis.tar file consists of a pretrained word embedding model. the preprocess_twitter.py is for preprocessing the tweets and the embedding1.py is used to load the word embedding for training our classifiers. We have used CNN and RNN with GRU as the supervised classifiers.