A Text Mining Analysis of Demonetization in India Based on Twitter Feeds

The government implemented a major change by demonetizing the high value currency notes of Rs 500 and Rs 1000 denomination and replaced these existing notes from circulation with a new set of notes. It was a drastic decision as these notes constituted about 87 percent of the cash in circulation in I...

Full description

Saved in:
Bibliographic Details
Published inAnvesha Vol. 11; no. 1; pp. 41 - 47
Main Author Bhattacharjee, Sandeep
Format Journal Article
LanguageEnglish
Published Mumbai IES Management College and Research Centre 01.01.2018
Subjects
Cluster analysis
Counterfeiting
Currency
Data mining
Donations
Economic policy
Expenditures
Floating exchange rates
Hypotheses
Internet
Keywords
Social networks
Studies
Tax rates
India
Online AccessGet full text

Cover

More Information
Summary:The government implemented a major change by demonetizing the high value currency notes of Rs 500 and Rs 1000 denomination and replaced these existing notes from circulation with a new set of notes. It was a drastic decision as these notes constituted about 87 percent of the cash in circulation in India. The research paper is an attempt to interpret the results obtained from the text mining of twitter data which includes opinions of twitter users based on feeds obtained post launch of demonetization policy. The paper has used 'R 3.4.0 console version ' to perform text mining on a pool of data feeds available from open source repository. The results obtained showed that demonetization as a policy has affected the initial psychological behavior of the twitter users and gathered strong support for the acceptance of the policy among internet based users. The results obtained can be used as a basis of further analytical studies for the given domain.
ISSN:0974-5467