A Comparative Study of Sentiment Analysis Techniques

Data Analytics is the process of examining large and varied data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. It is widely used in many industries and organization to make a better Business decision. Sentiment analysis or emotion extraction or opinion mining plays a significant role in the decision making process. It is a very popular field of research in text mining. The idea is to find the polarity of the text and classify it into various groups aspositive, negative or neutral. To perform sentiment analysis, one has to perform various tasks like subjectivity detection, sentiment classification, aspect term extraction, feature extraction etc. This paper presents the survey of the main approaches used for sentiment analysis classification.

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