A Comparative Analysis of Japan and India COVID-19 News Using Topic Modeling Approach

Piyush Ghasiya, Koji Okamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is wreaking havoc. This virus has infected more than 62.01 million and killed around 1.44 million people worldwide in less than a year. For the past 11 months, this is the most critical issue that the world is dealing with. Hence, there is a rapid accumulation of coronavirus-related news. Natural language processing (NLP) and machine learning (ML) methods such as topic modeling receive much attention because of their ability to discover hidden themes and issues from large unstructured text data. We collected 63,424 COVID-19/coronavirus themed news articles from Japanese and Indian English newspapers and applied the recently proposed Top2Vec model to analyze and extract major topics. Our research finds out that both countries’ media reported heavily about the problems that arise due to coronavirus in sports, education, and entertainment sectors. Our findings also point out that Indian media gave very little space to the issues such as unemployment and the migrant crisis that impacted millions during this period. This research can be used as a template to understand and analyze how this pandemic impacted other countries. It also brought to our attention the media’s failure to prioritize critical importance issues for society (migrant crisis) and focused on trivial news (celebrities social media posts).

Original languageEnglish
Title of host publicationCommunication and Intelligent Systems - Proceedings of ICCIS 2020
EditorsHarish Sharma, Mukesh Kumar Gupta, G. S. Tomar, Wang Lipo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages447-460
Number of pages14
ISBN (Print)9789811610882
DOIs
Publication statusPublished - 2021
Event2nd International Conference on Communication and Intelligent Systems, ICCIS 2020 - Virtual, Online
Duration: Dec 26 2020Dec 27 2020

Publication series

NameLecture Notes in Networks and Systems
Volume204
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference2nd International Conference on Communication and Intelligent Systems, ICCIS 2020
CityVirtual, Online
Period12/26/2012/27/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'A Comparative Analysis of Japan and India COVID-19 News Using Topic Modeling Approach'. Together they form a unique fingerprint.

Cite this