An Online Comment Assistant for a Better Comment Experience

Ju Yeon Choi, Younah Kang, Keeheon Lee

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

Abstract

In this study, we examined online news comment activities that are used as a key means of public opinion and interaction in modern society. We extracted keywords in comments using big data and sorted them according to frequency. Through this process, a chatbot was designed to check the ranking and contents of comments based on keywords represent the most important issues in the comment population and search for classified comments according to keywords before users read the news. Through experiments using this chatbot, we compared and analyzed the nature of the comments in the existing comment system and the characteristics of the system experience. Results shows that the chatbot designed in this study can provide more information than existing comment presentation systems, search for comments by type, and check more information than articles. In addition, assessing the nature of the existing comments reduced the number of sensational, non-slang-oriented comments.

Original languageEnglish
Title of host publicationHCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings
EditorsConstantine Stephanidis, Margherita Antona
PublisherSpringer Science and Business Media Deutschland GmbH
Pages359-368
Number of pages10
ISBN (Print)9783030307110
DOIs
Publication statusPublished - 2019
Event21st International Conference on Human Computer Interaction, HCII 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameCommunications in Computer and Information Science
Volume1088
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference21st International Conference on Human Computer Interaction, HCII 2019
Country/TerritoryUnited States
CityOrlando
Period19/7/2619/7/31

Bibliographical note

Funding Information:
Acknowledgements. This work was conducted with the support of the Design Engineering Postgraduate Schools (N0001436) program, an R&D project initiated by the Ministry of Trade, Industry and Energy of the Republic of Korea.

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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