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Statistics report
Sep. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 100
Paper Published : 1307
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  Journal Paper


Paper Title :
Aspect Level Approach in Opinion Mining with Extended Features

Author :M.Mangaiyarkarasi, N.Puviarasan

Article Citation :M.Mangaiyarkarasi ,N.Puviarasan , (2017 ) " Aspect Level Approach in Opinion Mining with Extended Features " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 73-76, Volume-5,Issue-12

Abstract : Opinion mining is a way to retrieve opinions through search engines, Web blogs and social networks. It’s today’s trend that people tend to seek opinion on everything for which we need an efficient Opinion Mining System. In top of our research, we have successfully developed a high-precision opinion mining system which will evaluate opinions from various sources that helps to every level of user. The most successful supervised methods like decision tree have been deployed in our system. With current systems we have learned that location is not considered as a factor in evaluating opinions that will not be helpful in all the cases. Considering this we have taken critics location as an additional factor in evaluating opinions. Keywords - Opinion Mining; Sentiment Analysis; Information Retrieval; Text Mining; Web Mining

Type : Research paper

Published : Volume-5,Issue-12


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