Design of Opinion Mining Model for Opinions Review on World Wide Web by Mobile Computing

Authors

  • Nayan S. Patel   M.Sc. (Information Technology), B.N.Patel Institute of Paramedical And Science/ Sardar Patel University, Anand, Gujarat, India
  • Dr. Dipti B. Shah  G.H.Patel Post Graduate Department of Computer Science & Technology, Sardar Patel University, V.V.Nagar, Gujarat, India.
  • Dr. H. B. Bhadka  Faculty of Computer Science/C.U.Shah University, Surendanagar, Gujarat, India.

Keywords:

Opinion Mining , Supervised Term , Polarity Detection, Sentiment Analysis.

Abstract

Introduction with the high use of mobile, tablets and computers with 4G internet connectivity in our daily life there are lots of opinion reviews are available on world wide web related to different domain like review on movie, review on any political party , review on any consumed product or any government policies. Opinion mining on internet is helpful to both the party i.e. domain user and domain provider. Domain user can get the knowledge or idea about prototype of given domain review. On other side domain provider get proper analysis on given review and can get the feedback from general public. If review is negative domain provider may try to remove bottlenecks in a given domain and develop their functionality.

References

  1. Trivedi Khushboo, Swati K. Vekariya,? Prof.Shailendra Mishra, "Mining of Sentence Level Opinion Using Supervised Term Weighted Approach of Na?ve Bayesian Algorithm."
  2. Nayan S Patel and Dr. Dipti B. Shah "Opinion Mining: A Research in Agriculture."
  3. S.MShamimul Hasan, Donald A Adjeroh" Proximity based sentiment analysis ", 2011 IEEE.
  4. Chris Nicholls, Fei song "improving sentiment analysis with part of speech weighting", 2009 IEEE.

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Nayan S. Patel , Dr. Dipti B. Shah, Dr. H. B. Bhadka, " Design of Opinion Mining Model for Opinions Review on World Wide Web by Mobile Computing , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 8, pp.1047-1049, November-December-2017.