DOIONLINE

DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-3838

Publish In
International Journal of Management and Applied Science (IJMAS)-IJMAS
Journal Home
Volume Issue
Issue
Volume-2,Issue-1  ( Jan, 2016 )
Paper Title
Sentiment Analysis Of Product Reviews For E-Commerce Recommendation
Author Name
D. Mali, M. Abhyankar, P. Bhavarthi, K. Gaidhar, M.Bangare
Affilition
Department of: Information Technology, Smt. KashibaiNavale College of Engineering, Pune
Pages
127-131
Abstract
The social web has made enormous amounts of information available to users globally at just the click of a button. Consumers often tend to rely on such text, especially those in the form of opinions or experiences regarding a particular product which makes it essential that this information should be available in a systematic manner. Sentiment analysis studies these opinions. This paper explains different methods for sentiment analysis and showcases an efficient methodology. It also highlights the importance of Naïve Bayes classifier over other classification algorithms. Keywords— Sentiment analysis, E-commerce, Machine learning, NaïveBayes, WordNet.
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