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Opinion Mining and Sentiment Analysis - A Review

Author(s):

Haseena Rahmath P , Al-Falah School of Engineering, Dhauj, Haryana, India.; Dr.Tanvir Ahmad, Jamia Millia Islamia, New Delhi, India.

Keywords:

Opinion Mining, Sentiment Analysis, Supervised learning, Unsupervised learning, Machine Learning, POS Tagger

Abstract

The exponential growth of internet usage has created a new platform where people can freely communicate and exchange ideas and opinions. Review web sites, social Medias, blogs, discussion forums, community websites, etc are encouraging users to share their sentiments and opinion towards products and services. Most of these opinions are expressed in unstructured nature. Prevailing these factors such as availability of heterogeneous content and increased expectation of the customers, gives birth to a new area of research called opinion mining. Opinion mining and sentiment analysis is an extension of text mining that extract the sentiments present in the documents and analyze its polarity orientation towards positive, negative and neutral. Both supervised and unsupervised classification approach can be used for sentiment classification. This paper reviews various work carried out in this area.

Other Details

Paper ID: IJSRDV2I3698
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1716-1718

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