Comparative study of feature extraction techniques used in sentiment analysis

There is a need to analyze sentiments of people with the advancement of social media like social networks, blogs, and presentations. Sentiment analysis is a very challenging task as there is a huge amount of data present online. It is the analysis of sentiments on a particular entity in terms of positive, negative or neutral polarity. The challenge is the identification of the meaning of the word as it can be different in different situations. Feature extraction and identification is necessary to identify sentiment polarity. This paper shows comparative study of feature extraction techniques used in sentiment analysis.