A Survey on Opinion Mining Methods from Online Reviews

Authors(2) :-Vibhuti Patel, Mital Panchal

Now-a-days e-commerce becomes more mature and number of reviews about product grows as well with it. So, it is difficult for a customer to browse through large number of reviews for item of interest and make a decision about the product. For manufacturer, it’s also difficult to keep track of the product reviews. Using opinion mining the process becomes easier for customers as well as manufacturers to keep track of the product reviews. This paper analyzing the existing methods for opinion mining from online customer reviews, and the analysis and conclusion would be helpful in obtaining a method, that could give better opinion mining results and overcoming the existing limitation.

Authors and Affiliations

Vibhuti Patel
Department of Information Technology, L. D. College of Engineering, Ahmedabad, Gujarat, India
Mital Panchal
Department of Information Technology, L. D. College of Engineering, Ahmedabad, Gujarat, India

opinion mining, e-commerce technology, WTM, POS, Part-of-Speech Tagging, Latent Dirichlet Allocation

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Publication Details

Published in : Volume 1 | Issue 6 | November-December 2015
Date of Publication : 2015-12-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 262-264
Manuscript Number : IJSRSET151653
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Vibhuti Patel, Mital Panchal, " A Survey on Opinion Mining Methods from Online Reviews, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.262-264, November-December.2015
URL : http://ijsrset.com/IJSRSET151653

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