SENTIMENT ANALYSIS BASED ON TWITTER DATA ON VIOLENCE

Authors

  • Nihal Jumhare Department of CSE, VIT University, Chennai, Tamil Nadu, India.
  • Raja Rajeswari G Department of CSE, VIT University, Chennai, Tamil Nadu, India.
  • Balaji Jayakrishnan Department of CSE, VIT University, Chennai, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.20521

Keywords:

Rich web resources, Text analysis, Uri attack

Abstract

 Due to the large volume of opinion-rich web resources such as Twitter, Facebook, blogs, and news available in digital form, and much of the current research is focusing on the area of sentiment analysis using text analysis. People are getting attracted to develop a system that can extract opinions based on their response on social media sites. Algorithms can be developed so as to predict preferences of people to improve economic and marketing research. This paper presents a sentiment analysis on a recent scenario of Uri Attack.

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References

Vinodhini G, Chandrasekaran RM. Sentiment analysis and opinion mining: A survey. Int J Adv Res Comput Sci Softw Eng 2012;2:282-92.

Anjaria M, Mahana R, Guddeti’s R. Influence factor based opinion mining of twitter data using supervised learning. In: IEEE/ACM Conference on ASONAM; 2014.

Kouloumpis E. Theresa Wilson and Johanna Moore. Twitter Sentiment Analysis: The Good the Bad and the OMG! Proceedings of the 5th International AAAI Conference on Weblogs and Social Media; 2011.

O’Connor B, Balasubramanyan R, Routledge’s BT. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. Proceedings of the 5th International AAAI Conference on Weblogs and Social Media; 2010.

Published

01-04-2017

How to Cite

Jumhare, N., R. R. G, and B. Jayakrishnan. “SENTIMENT ANALYSIS BASED ON TWITTER DATA ON VIOLENCE”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 474-5, doi:10.22159/ajpcr.2017.v10s1.20521.

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Section

Original Article(s)