Contact: +91-9711224068
International Journal of Applied Research
  • Multidisciplinary Journal
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 8.4

International Journal of Applied Research

Vol. 3, Issue 7, Part J (2017)

GST sentiment analysis using twitter data

Dr. Kavita Pabreja
The growing popularity of social media has raised the opportunity for exploring and tracking the response of new reforms and policies in India. Social media has been used profoundly all over the world for analysis of political campaigns, stock market data, new product launch, movie release etc. Many researchers have been analyzing the tweets by citizens of a nation on Twitter which is a microblogging website where users read and write millions of tweets on a variety of topics on daily basis. In this paper, Twitter has been used as a forum to understand the sentiments of citizens of India towards recently launched Goods and Services Tax by Indian Government on 1st July 2017. The tweets originating in India on 30th June and 1st July have been analyzed. The emotions of public in terms of anger, anticipation, disgust, fear, joy, sadness, surprise have been extracted based on their live opinion.
Pages: 660-662  |  603 Views  35 Downloads
How to cite this article:
Dr. Kavita Pabreja. GST sentiment analysis using twitter data. Int J Appl Res 2017;3(7):660-662.
Call for book chapter
International Journal of Applied Research