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

Piyush Ghasiya, Koji Okamura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

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).

本文言語英語
ホスト出版物のタイトルCommunication and Intelligent Systems - Proceedings of ICCIS 2020
編集者Harish Sharma, Mukesh Kumar Gupta, G. S. Tomar, Wang Lipo
出版社Springer Science and Business Media Deutschland GmbH
ページ447-460
ページ数14
ISBN(印刷版)9789811610882
DOI
出版ステータス出版済み - 2021
イベント2nd International Conference on Communication and Intelligent Systems, ICCIS 2020 - Virtual, Online
継続期間: 12 26 202012 27 2020

出版物シリーズ

名前Lecture Notes in Networks and Systems
204
ISSN(印刷版)2367-3370
ISSN(電子版)2367-3389

会議

会議2nd International Conference on Communication and Intelligent Systems, ICCIS 2020
CityVirtual, Online
Period12/26/2012/27/20

All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • 信号処理
  • コンピュータ ネットワークおよび通信

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