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

Authors

  • 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

Keywords:

Aspect, Opinion mining, Polarity, Twitter

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. Vadivukarassi, N. Puviarasan, P. Aruna, " Identification of Opinion Words and Polarity of Reviews in Tweets using Aspect Based Opinion Mining, IInternational 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.