~ 660 ~ ISSN Print: 2394-7500 ISSN Online: 2394-5869 Impact Factor: 5.2 IJAR 2017; 3(7): 660-662 www.allresearchjournal.com Received: 03-05-2017 Accepted: 04-06-2017 Dr. Kavita Pabreja Associate Professor & Head- Department of Computer Science, Maharaja Surajmal Institute, (GGSIP University), Dwarka, Delhi, India Correspondence Dr. Kavita Pabreja Associate Professor & Head- Department of Computer Science, Maharaja Surajmal Institute, (GGSIP University), Dwarka, Delhi, India GST sentiment analysis using twitter data Dr. Kavita Pabreja Abstract 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 1 st July 2017. The tweets originating in India on 30 th June and 1 st 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. Keywords: Twitter, Word cloud, Goods and Services Tax, Sentiment analysis, Indian Government. 1. Introduction Goods and Services Tax (GST) is an indirect tax applicable throughout India which replaced multiple cascading taxes levied by the central and state governments. It was introduced as The Constitution (One Hundred and First Amendment) Act 2017 [1, 2] , following the passage of Constitution 122nd Amendment Bill. The GST is governed by a GST Council and its Chairman is the Finance Minister of India. Under GST, goods and services is taxed at the following rates, 0%, 5%, 12%, 18%, 28% [2] . There is a special rate of 0.25% on rough precious and semi-precious stones and 3% on gold [3] . The Goods and Services Tax (GST), India's biggest tax reform in 70 years of independence, was launched on the midnight of 30 June 2017 [2a] by the Prime Minister of India Narendra Modi. The launch was marked by a historic midnight (June 30-July 1, 2017) session of both the houses of parliament convened at the Central Hall of the Parliament [4] . Members of the Congress boycotted the GST launch altogether. They were joined by members of the Trinamool Congress, Communist Parties of India and the DMK, who reportedly found virtually no difference between the existing taxation system, and therefore claimed that the government was trying to merely rebrand the current taxation system but made it worse for common people by increasing existing rates on common items and reducing rates on luxury items [5a] . GST was initially proposed to replace a slew of indirect taxes with a unified tax and was therefore set to dramatically reshape the country's 2 trillion dollar economy. However, it has been met with sharp criticism from various fronts. Recent years have witnessed the explosive growth of the social media content on the Internet, people now express their views on almost anything in discussion. There are many micro-blogging websites like Twitter, Facebook, and Tumbler etc. Twitter has become a very popular communication tool among Internet users and it is one of the most open and simplest platforms to share their opinions on different topics. The outgrowth of social media in expression of thoughts has resulted in the availability of huge volumes of data from masses. These social networking data and government’s policies data can be combined to observe some useful sentiments of public. Availability of the voluminous data has opened an arena for conducting research in the domain that combines politics and social media both. Twitter is one of the most popular social networking services used by today’s generation. It enables users to send and read short 140-character messages called “tweets”. When someone posts a new tweet on some topic, other likeminded users also join in the talk and this formulates a Twitter’s network of likeminded users related to some topic. These set of tweets can provide an indicator of vote of confidence related to the topic of discussion. International Journal of Applied Research 2017; 3(7): 660-662