SENTIMENT ANALYSIS ON GST TWEETS

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Published: Apr 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i2.5542
Keywords:
Twitter, Sentiment analysis, Goods and Services Tax, Word Cloud, R language.

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Ekta .
GGSIPU Dwarka, Delhi, India
Dr. Kavita Pabreja
Maharaja Surajmal Institute, GGSIPU Dwarka, Delhi, India

Abstract

Social networking websites are considered as major sources of opinions and emotions of the public on social issues. Twitter a microblogging website where users share millions of views on a wide range of topics on a daily basis which can be used for Sentiment analysis in order to identify user’s opinions, likes, dislikes, feedbacks, etc. Analysis of people’s sentiment in a text and classification in terms of positive, negative or neutral is a challenging task. In this paper, Twitter has been used as a forum to analyze and graphically represent people's opinion of India towards recently introduced Goods and Services Tax by Indian Government on 1st July 2017.The tweets originating in India on 30th June and 1st July have been extracted then classified as positive, negative and neutral sentiments.

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Vol. 9 No. 2 (2018): March-April 2018
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Author Biographies

Ekta ., GGSIPU Dwarka, Delhi, India

Student-Department of Computer Science GGSIPU

Dr. Kavita Pabreja, Maharaja Surajmal Institute, GGSIPU Dwarka, Delhi, India

Associate Professor-Department of Computer Science Maharaja Surajmal Institute, GGSIPU Dwarka, Delhi, India

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