Identification of Opinion Words and Polarity of Reviews in Tweets using Aspect Based Opinion Mining

Authors(3) :-M. Vadivukarassi, N. Puviarasan, P. Aruna

Opinion words extraction about products reviews from twitter is becoming an interesting area of research. This research motivated to develop an automatic opinion mining application for users. In this paper, a novel model for detecting noun phrases opinion words of user about the product reviews from tweets were proposed and aspect-based opinion mining model was used to get the polarity of opinion words as positive and negative reviews from Twitter dataset. The real-time datasets are analysed based on the experimental results.

Authors and Affiliations

M. Vadivukarassi
Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamil Nadu, India
N. Puviarasan
Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamil Nadu, India
P. Aruna
Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamil Nadu, India

Aspect, Opinion mining, Polarity, Twitter

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 282-289
Manuscript Number : CSEIT172561
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Vadivukarassi, N. Puviarasan, P. Aruna, "Identification of Opinion Words and Polarity of Reviews in Tweets using Aspect Based Opinion Mining", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp. 282-289, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT172561

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