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      https://www.ias.ac.in/article/fulltext/sadh/043/11/0186

    • Keywords

       

      Demonetization; data analysis; data preprocessing; opinion extraction; sentiment classification; machine learning.

    • Abstract

       

      Sentiment analysis has become a very useful tool in recent times for studying people’s opinions, sentiments and subjective evaluation of any event of social and economic relevance, and in particular, policy decisions. The present paper proposes a framework for sentiment analysis using twitter data for the ’demonetization’ effort of the Government of India. The paper employs twitter data using Twitter API. The methodology of the paper involves collection of data from twitter from different cities of India using geolocation and preprocessing followed by a lexicon-based approach to analyse users’ sentiments over a period of five weeks preceding the policy announcement. In addition to this, the paper also attempts to analyse the sentiments of specific groups of people representing diverse interest groups.

    • Author Affiliations

       

      PARAMITA RAY1 AMLAN CHAKRABARTI2 BHASWATI GANGULI3 PRANAB KUMAR DAS4

      1. Computer Science Department, Dinabandhu Andrews Institute of Technology and Management, Kolkata 700094, India
      2. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India
      3. Department of Statistics, University of Calcutta, Kolkata, India
      4. Centre for Studies in Social Sciences, Kolkata, India
    • Dates

       
  • Sadhana | News

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