Comparative Analysis of Japan and the US Cybersecurity Related Newspaper Articles: A Content and Sentiment Analysis Approach

Piyush Ghasiya, Koji Okamura

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

1 Citation (Scopus)

Abstract

Recent advancements in the field of Information Technology (IT) have not only changed the way people consume news but also made it possible for researchers to analyze a plethora of news, especially when the headlines are changing every minute. Big data, Natural Language Processing (NLP) and Machine Learning (ML) techniques are becoming staple for researchers of every domain to discover patterns and themes in the vast amount of data. This research would utilize NPL and ML techniques to analyze cybersecurity-related newspaper articles of major newspapers (digital version) from Japan and the US. Japan and the US are close allies, and they are collaborating in the field of cybersecurity owing to its rising significance for nations. However, as the demography, culture, and political behavior are different in both countries, it would be fascinating and very critical to analyze how newspapers from both countries are dealing with cybersecurity issues.

Original languageEnglish
Title of host publicationAdvanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020
EditorsLeonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
PublisherSpringer
Pages431-443
Number of pages13
ISBN (Print)9783030440404
DOIs
Publication statusPublished - 2020
Event34th International Conference on Advanced Information Networking and Applications, AINA 2020 - Caserta, Italy
Duration: Apr 15 2020Apr 17 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1151 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference34th International Conference on Advanced Information Networking and Applications, AINA 2020
Country/TerritoryItaly
CityCaserta
Period4/15/204/17/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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