Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.227-237 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042444632&doi=10.1007%2f978-3-319-71767-8_19&partnerID=40&md5=7366679315ce6d55bb6daeb4745d884a

Abstract:

Social media like twitter and Facebook is seen as a space where public opinions are formed in today’s world. The data from these tweets and posts can provide valuable insights for policy makers and other agencies to propose and implement policies better. An attempt is made in this paper to understand the public opinion on the recently implemented demonetization policy in India. A sentiment analysis is carried out on twitter data set using machine learning approaches. Twitter data from November 9th to December 3rd is considered for analysis. The data set is pre-processed for cleaning the data and making it possible for analysis. A final set of 5000 tweets are analysed using machine learning techniques like SVM, Naïve Bayes classifier and Decision tree and the results are compared. © 2018, Springer International Publishing AG.

Notes:

cited By 0

Cite this Research Publication

N.M.a Dhanya and Harish, U. C., “Sentiment analysis of twitter data on demonetization using machine learning techniques”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 227-237, 2018.

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