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Twitter Based Sentiment Analysis of GST Implementation by Indian Government

  • Prabhsimran SinghEmail author
  • Ravinder Singh Sawhney
  • Karanjeet Singh Kahlon
Chapter
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 21)

Abstract

Bringing major changes in existing tax structure is always a monotonous task to implement, especially when it affects one and all of the business world of one of the fastest growing economy. There are numerous hidden taxes, which remain inherently correlated with the goods reaching out to the general public. Implementation of Goods and Services Tax (GST) has been the biggest reform and a bold action performed by the Government of India recently. This paper takes into consideration the overall impact of GST implementation and the opinion of the Indian public about GST. Using our mathematically improvised modeling approach, we have done the sentiment analysis of the Twitter data collected over a period consisting of Pre-GST, In-GST and Post-GST period from all the regions and states of India. Multiple datasets are adopted to bring a rationalized outlook of this economic reform in Indian corporate scenario.

Keywords

Goods and Services Tax Machine learning Twitter Sentiment analysis 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Prabhsimran Singh
    • 1
    Email author
  • Ravinder Singh Sawhney
    • 2
  • Karanjeet Singh Kahlon
    • 1
  1. 1.Department of Computer ScienceGuru Nanak Dev UniversityAmritsarIndia
  2. 2.Department of Electronics TechnologyGuru Nanak Dev UniversityAmritsarIndia

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