Sentiment Analysis and Challenges Involved: A Survey

Web is a global fence with enormous opportunities for people to share their thoughts and to know their opinions about almost anything in the world. Influence of what other people think has always been a prime part of ones life from generations for a better decision making. The abundant amount of opinions or views expressed by internet users today not only consists of a wealth of intelligent information but also gains monetary benefits, and the urge to be benefited from this knowledge source has led to emergence of a field known as Sentiment Analysis. Opinion Mining is a computational study of opinions which applies Natural Language Processing techniques and computational linguistics which extracts the view of users from various sources on web and analyzes them to identify their polarity. The study investigated briefs about the framework of a Sentiment Analysis system used in general, the various supervised and lexicon based approaches used for the classification, the challenges that are confronted in building an efficient system and lastly, it covers the various applications of Sentiment Analysis.