Sentiment analysis is the process of analysing and classifying a sentence based on its polarity. In this project, different approaches are discussed. Various text featurization techniques and various models are being explored and the performance of each approach is compared to the other methods.
TFIDF, Glove Vectors, Bert
Logistic Regression, Naive Bayes, XGBoost classifier
Upsampling techniques, Text augmentation