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OEFC Algorithm—Sentiment Analysis on Goods and Service Tax System in India

  • K. Purushottama Rao
  • Anupriya Koneru
  • D. Naga Raju
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Significance of the execution of paradoxical rules effects the economy of the country. Politicians need to predict the effect of any rule before it is implemented. Our rule makers introduced Goods and Service Tax recently in order to strengthen the economy of India. Nowadays, public are used to offer their opinions on Social media. There are lot of Tweets on Goods and Service Tax. To analyze the opinion of public we proposed an algorithm called Opinion Extraction using Favorites Count. This algorithm is applied on the twitter tweets to extract the opinion of public on Goods and Service Tax. The performance of this algorithm is compared with general sentiment analysis method.

Keywords

Goods and service tax Tweets Favorites count Opinion mining Sentiment analysis 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • K. Purushottama Rao
    • 1
  • Anupriya Koneru
    • 1
  • D. Naga Raju
    • 1
  1. 1.LBRCEMylavaramIndia

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