A SURVEY BASED ON OPINION CLASSIFICATION TECHNIQUES

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Title:	A SURVEY BASED ON OPINION CLASSIFICATION TECHNIQUES
Authors:	Poongodi S Radha N
Keywords:	Opinion Mining Machine Learning Algorithm Negation Handling
Issue Date:	Oct-2013
Publisher:	INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
Abstract:	The essential one is to collect the information as what the people think forever. Nowadays people can share everything in online Social network such as twitter, Facebook. People articulates their views and opinions regarding products and services. People can easily access and understand the opinions of others via web resources like as blog, review, and forum. These opinions are individual information which represents user’s opinions. The precise way for predicting opinions are to extract sentiments from the web, which could valuable for marketing research. Opinions are so vital that whenever need to make a decision before want to know others’ opinions. Opinion is not only important for a user but is also useful for an organization. This survey is about various methods and techniques used to classify the user opinions like as positive, negative.
URI:	http://www.ijesrt.com/issues%20pdf%20file/Archives%202013/Oct-2013/35.pdf http://localhost:8080/xmlui/handle/123456789/1322
ISSN:	2277-9655
Appears in Collections:	International Journals

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