Algorithms and software for sentiment analysis of text messages based on machine learning

Abstract

This paper considers the problem of Sentiment Classification in text messages based on Machine Learning methods, in particularly Naive Bayes classifier. For improving an accuracy of sentiment classification we apply boosting and bagging algorithms.