A sentiment analysis job about the problems of each major U.S. airline. This is a twitter data scraped from February of 2015 and are classified into positive, negative, and neutral tweets.
Here I have used 3 different classifiers i.e Logistic Regression, Multinomial Naive Bayes and Decison Tree classifier and we got the accuracy's as follows : Logistic Regression : 78.142 % Multinomial Naive Bayes : 75.751 % Decision Tree classifier : 69.672 %
So we have finalized Logostic Regression for this use case...