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Sentiment Analysis : A key factor in Social Media

Authors(2):

Dipesh Pratap Singh Tilara, Chandan Kumar
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Reviews play a crucial role in determining the growth of the product. At present, analyzing peopleís review from social networking site is in trend as people now-a-days are interested more in knowing other personís opinion about any particular object or issue. It deals with finding the opinion, identifying them and classifying opinion and the sentiment behind them from text. It is a field in which people are finding more interest, but at the same time it is very complex to analyze the sentiments as people can have different opinion about an entity at different situations. Facebook, Yahoo, Twitter are such social sites, which provide large number of reviews on a particular object. These reviews play an important role in the marketing of a particular product. These reviews can change the market either in the favor of the product or downgrade the rating of that product. Reviews are the base of creating positive, negative or neutral wave in the market about any particular product, which in a way making it easy for both consumers and sellers of the product to understand each otherís need. In this paper, we are focusing on sentiment analysis of data in the form of tweets on different issues collected from Twitter.

Dipesh Pratap Singh Tilara, Chandan Kumar

Twitter, Entity, Sentiment Analysis, NaÔve Bayes, Maximum Entropy, Random Forest.

  1. UmeshRaoHodeghatta, Sentiment Analysis of Hollywood Movies on Twitter, 2013 IEEE/ACM International Conference on Advances in Social Networking Analysis and Mining.
  2. Arndt, J. Role of Product-Related Conversations in the Diffusion of a New Product. Journal of Marketing Research, 4, 291-295. 1967.
  3. Akcora, C. G., Bayir, M. A., Demirbas, M., and Ferhatosmanoglu, H., “Identifying breakpoints in public opinion”, In ACM Proceedings of the First Workshop on Social Media Analytics, July, pp. 62-66. 2010.
  4. Sun, E., Rosenn, I., Marlow, C. and Lento, T. (2009), “Gesundheit! modeling contagion through Facebook news feed”, In Proc. Of International AAAI Conference on Weblogs and Social Media, May, pp. 22.
  5. Kwak, H., Lee, C., Park, H. and Moon, S. (2010), “What is twitter, a social network or a news media?”, In ACM Proceedings of the 19thInternational Conference on World Wide Web, April, pp. 591-600.
  6. Cha, M., Haddadi, H., Benevenuto, F. and Gummadi, K. P., “Measuring user influence in Twitter: the million follower fallacy”, In 4th international AAAI Conference on Weblogs and Social Media (ICWSM), May, Vol.14, No.1, pp. 8.. 2010.
  7. Weng, J., Lim, E. P., Jiang, J. and He, Q. (2010), “Twitterrank: finding topic sensitive influential twitterers”, In Proceedings of the Third ACM International Conference on Web Search and Data Mining, February, pp. 261-270.
  8. Patil,T. ; “Automatic Generation of Emotions for Social Networking Websites Using Text Mining”, Computing, Communication and Networking Technologies(ICCCNT), 2013 Fourth International Conference, July 2013
  9. Tanbeer, S.K. ; “Finding Groups of Friends Who are Significant Across Multiple Domains in Social Networks”, Computational Aspects of Social Networks(CASoN), 2013 Fifth International Conference, August 2013.
  10. A. Pakand P. Paroubek, “Twitter as a corpus for sentiment analysis and opinion mining,” in Proceedings of LREC, vol.2010,2010.

Publication Details

Published in : Volume 3 | Issue 3 | May-June - 2017
Date of Publication Print ISSN Online ISSN
2017-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
211-214 IJSRSET173378   Technoscience Academy

Cite This Article

Dipesh Pratap Singh Tilara, Chandan Kumar, "Sentiment Analysis : A key factor in Social Media", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.211-214, May-June-2017.
URL : http://ijsrset.com/IJSRSET173378.php

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