Twitter Sentiment Analysis on GST tweets using R tool

Authors(2) :-D. Suganthi, Dr. A. Geetha

The Goods and Services Tax (GST) has revolutionized the Indian taxation system. This creates a big change in the financial standards of India. Twitter is the ninth largest social networking website in the world, only because of people can share information by way of the short message up to 140 characters called tweets. Twitter is the best source for the sentiment and opinion analysis. The tweets are classified as positive or negative or neutral based on the sentiments. This analysis can be done by classifying the dataset using various Machine Learning Algorithms. One option to perform sentiment analysis in R is to calculate a sentiment score for each tweet. This paper presents the sentiment analysis on the current tweets related to GST.

Authors and Affiliations

D. Suganthi
M.Phil Research Scholar, Department of Computer Science, Chikkanna Government Arts College, Tirupur, Tamil Nadu, India
Dr. A. Geetha
Assistant Professor, Department of Computer Science, Chikkanna Government Arts College, Tirupur, Tamil Nadu, India

Classification, Opinion mining, Sentiment analysis, Sentiment score, Support Vector Machine

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-21
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 793-796
Manuscript Number : CSEIT1725181
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

D. Suganthi, Dr. A. Geetha, "Twitter Sentiment Analysis on GST tweets using R tool", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.793-796, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725181

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