In this repo, two ways to build a Sentiment Analysis is implemented.
For First Method, an emsemble methods is used. First, extracted the features by NLTK package, built words-level features. Based on certain type of words apparence(Adjective in default). Then, trained the model with provided language package with short positive and negative review.
Pre-installation: NLTK, NLTK data, Scikit-learn