Intelligence Approaches for Sentimental Analysis in Social Networks : A Survey

Authors

  • Karthik R. V.  School of Computing Science and Engineering, VIT University-Chennai Campus, Chennai, India
  • S. Ganapathy  School of Computing Science and Engineering, VIT University-Chennai Campus, Chennai, India

Keywords:

Social Network, Sentiment Analysis, User Reviews, Recommendation, Opinion.

Abstract

Social network occupies an important place and also takes a considerable amount of time in people's daily lives. It has become so popular that people are sharing a huge amount of data and opinion on social network/review sites which in turn helps to find interesting insights for organizations/ vendors or consumers. In this Survey paper, we have presented the researches done in the area of Sentimental analysis / Opinion mining from Social network data. We also documented the outcome of comparative analysis, followed by our future work in Online product recommendations with help of Sentiment analysis.

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

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Karthik R. V., S. Ganapathy, " Intelligence Approaches for Sentimental Analysis in Social Networks : A Survey" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1625-1631, January-February-2018.