Project Summary:
- Implemented two methodologies and compared them * Firstly, using a lexicon-based approach * Secondly using machine learning techniques like SVM, Logistic Regression, artificial neural networks.
- SVM performed the best of all, due to the constrained size of training dataset used.
Recent Developments:
- Recent Development: Performed sentiment analysis of yelp reviews using LSTM, Bi-directiional LSTMs, Convolutional Neural Networks.
- Simple LSTM model produced the best accuracy. Suprisingly, the Bidirectional LSTM overfits on the data does not produce better results compared to the LSTM Network.
FrameWorks : Keras, Tensorflow, scikit-learn, NLTK