Opinion Mining and Sentiment Analysis: A Review on Approaches and Techniques Used
Author(s):
Neeraj Kumar, Dr. Saroj Hiranwal, Vijay Kumar Sharma
Keywords:
NBA, Opinion Mining, Sentiment Analysis, SVM.
Abstract
Over the last two decades, the emergence of web 2.0 has made it possible for the internet users to express their opinion for a particular product and services by admitting ratings and reviews on that particular blogs or social media websites. Almost all commercial organizations use the analysis of their customers view over their goods and services over their official blogs and mine the opinion of their customers for the goodwill of their customers choice and for the profit of their own organization as they completely believe that there future is totally dependent on customer’s satisfaction. Comment section of the websites is flooded with tons of comments every second on the popular platforms that it became uneasy for a person who is totally dependent on those online reviews from various posts to make decisions over that product and services because of the mixed opinion shares by internet users To get over this situation it became an important task to mine the opinion of the reviews and categorize them as spam if the reviews seems to be fake. This paper contains all the aspect related to opinion mining in terms of its classification, various mining techniques that is prevailing in the study of this field. A brief survey has been done on the techniques used for sentiment analysis.
Article Details
Unique Paper ID: 145295

Publication Volume & Issue: Volume 4, Issue 8

Page(s): 436 - 442
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