Applied the Naive Bayes algorithm to analyze sentiment of YouTube comments on a particular video which were fetched using the YouTube Data API. The model was trained on a pre-categorised dataset of words and could then classify the overall sentiment of the comments as positive or negative. The accuracy achieved is 80% and the various libraries used were Scipy, Matplotlib, Scikit-learn, NLTK in Python.
