Machine Learning for Sentiment Analysis: A Survey

Abstract

The scope of this research fits in sentiment analysis. This latter is becoming more and more an active field of research where to extract people's opinion concerning political, economic and social issues. The objective of sentiment classification is to classify opinions of users as positive, negative or neutral from textual information alone. For that, purpose researchers used data mining classification techniques such as naïve Bayes classifier and the Neural Networks. The sentiment analysis area is confronted to several problems that distinguish it from traditional thematic research, since the sentiment is expressed in a very varied and very subtle ways.