A Survey on Sentiment Analysis and Opinion Mining |
Author(s): |
| Pooja C. Sangvikar , Smt.Kashibai Navale College of Engineering Pune, India. |
Keywords: |
| Sentiment Analysis, Opinion Mining, Sentiment Classification |
Abstract |
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In Today’s world, the social media has given web users a place for expressing and sharing their thoughts and opinions on different topics or events. For this purpose, the opinion mining has gained the importance. Sentiment classification and Opinion Mining is the study of people’s opinion, emotions, attitude towards the product, services, etc. Sentiment Analysis and Opinion Mining are the two interchangeable terms. There are various approaches and techniques exist for Sentiment Analysis like Naïve Bayes, Decision Trees, Support Vector Machines, Random Forests, Maximum Entropy, etc. Opinion mining is a useful and beneficial way to scientific surveys, political polls, market research and business intelligence, etc. This paper presents a literature review of various techniques used for opinion mining and sentiment analysis. |
Other Details |
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Paper ID: IJSRDV3I100635 Published in: Volume : 3, Issue : 10 Publication Date: 01/01/2016 Page(s): 1029-1031 |
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