Impact of Demonetization in India using Opinion Mining over Twitter Data

Authors

  • Mrugendrasinh Rahevar  Assistant Professor, U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Anand, Gujarat, India
  • Martin Parmar  Assistant Professor, U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Anand, Gujarat, India
  • Rekha Karangiya  Assistant Professor, Information Technology, CSPIT, CHARUSAT, Changa, Anand, Gujarat, India

DOI:

https://doi.org//10.32628/CSEIT2062147

Keywords:

Sentiment analysis, Demonetization, Twitter data, opinion mining, polarity, WordCloud.

Abstract

In recent years, the utilization of Internet has turned out to be one of the everyday activities in our life. Social networks constitute a noteworthy segment of the Web and made an upheaval. It incorporates social media, forum conversations, blogs and micro-blogs like twitter. Due to this, large numbers of comments are produced on daily basis. So, nowadays most of the researchers or analyzers are concentrating on extracting significant data from social networks in order to understand the public viewpoint. This research has been reached out outside the computer science to cover other areas like business, political and social science. Hence, Sentiment analysis and Opinion mining are popular field of research in Data mining. This paper delineates various aspects of sentiment analysis in detail inclusive of important concepts, classification, process, importance, challenges and applications. The following paper presents experiment on sentiment analysis of public opinion on demonetization in India. Sentiment analysis is performed on tweets related to demonetization in India extracted from twitter. Polarity of the opinion is observed through the experimental analysis. Through the outcome of this analysis, the sentiments of the citizens that are determined help the government in improving their decisions and work for the welfare of the citizens.

References

  1. K.Arun, A.Srinagesh and M.Ramesh, “Twitter Sentiment Analysis on Demonetization tweets in India Using R language”, International Journal of Computer Engineering In Research Trends, Volume 4, Issue 6, June-2017, pp. 252-258.
  2. Seema Kolkur, Gayatri Dantal and Reena Mahe, “Study of Different Levels for Sentiment Analysis”, International Journal of Current Engineering and Technology, Vol.5, No.2 (April 2015).
  3. Bharat R.Naiknaware, Seema Kawathekar and Sachin N.Deshmukh, “Sentiment Analysis of Indian Government Schemes Using Twitter Datasets”, IOSR Journal of Computer Engineering (IOSR-JCE), Vol. 2, 2017.
  4. Mika V. Mäntylä, Daniel Graziotin and Miikka Kuutila, “The evolution of sentiment analysis—A review of research topics, venues, and top cited papers”, Computer Science Review, Volume 27, February 2018.
  5. Anna Jurek , Maurice D. Mulvenna and Yaxin Bi, “Improved lexicon-based sentiment analysis for social media analytics”, Security Informatics, 9 December 2015.
  6. Reshma Bhonde, Binita Bhagwat, Sayali Ingulkar and Apeksha Pande, “Sentiment Analysis Based on Dictionary Approach”, International Journal of Emerging Engineering Research and Technology Volume 3, Issue 1, January 2015.
  7. Keshtkar Fazel and Inkpen Diana, “A bootstraping method for extracting paraphrases of emotion expressions from texts”, Comput Intell, vol. 0, 2012.
  8. Medhat, Walaa, Ahmed Hassan and Hoda Korashy, “Sentiment analysis algorithms and applications: A survey”, Ain Shams Engineering Journal 5.4:1093-1113, 2014.
  9. Pierre FICAMOS and Yan LIU, “A Topic based Approach for Sentiment Analysis on Twitter Data”, International Journal of Advanced Computer Science and Applications, Vol. 7, No. 12, 2016
  10. Harpreet Kaur, Veenu Mangat and Nidhi, “A Survey of Sentiment Analysis techniques”, International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), 2017
  11. CH.R.Vinodkumar, Prof.D.Lalitha Bhaskari, “Sentiment Analysis of #MakeInIndia & #Demonetization using R”, IOSR Journal of Computer Engineering, Volume 19, Issue 6, Ver. II (Nov.- Dec. 2017)

Downloads

Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
Mrugendrasinh Rahevar, Martin Parmar, Rekha Karangiya, " Impact of Demonetization in India using Opinion Mining over Twitter Data, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.562-568, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2062147