Twitter sentiment analysis using NLTK and Matplotlib to graph. Used: -Multinomial Naive Bayes -Bernoulli Naive Bayes -Logistic Regression -Linear Support Vector Classification -Stochastic Gradient Descent from NLTK
to create a confidence percentage of a specific term in context of live tweets. sentiment_write.py and sentiment_load.py are distinct to learn pickling