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IJARCCE
Article . 2015 . Peer-reviewed
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IJARCCE
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Opinion Mining: A Survey

IJARCCE - Computer and Communication Engineering
Authors: Anu Maheshwari; Anjali Dadhich; Dr. Pratistha Mathur;

Opinion Mining: A Survey

Abstract

In the last few years as the growth & use of Internet increases and share of user's opinions increases, the inspiration towards opinion mining also increases. When person wants to conduct some research or making day to day decisions, he has to depend on other people's opinions. We consult "political discussion forums when going to a political vote, read consumer reports when purchasing some products, ask friends to recommend a hotel for the stay". And now Internet has now made it possible to find out the opinions of millions of people on everything from latest gadgets to latest software. Opinion mining is a type of natural language processing for tracking the perceptions or sentiments of the public about a particular product. It can be useful in several ways in marketing. It helps to judge the success of a launch of new product. This paper gives a brief survey on the opinion mining.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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