Correlation analysis between user's emotional comments and popularity measures

Zechen Wu, Eisuke Ito

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

18 Citations (Scopus)

Abstract

On user generated contents sites, user's comments include the user's impression to the content. The authors believe that user's comments can be used as the data mining resource to evaluate the contents. In this paper, the authors focus on bilibili.tv, a Chinese video sharing site, and analyze user's emotional comments on the site. Toward development of content quality measurement based on emotional comments, they investigate co-relation between emotional comments and popularity measures such as number of replay and bookmark. They pick up the phrase '233', which is a Chinese network jargon which represents lot of laugh, and studied the number of '233' related comments and other popularity measures.

Original languageEnglish
Title of host publicationProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-283
Number of pages4
ISBN (Electronic)9781479941735
DOIs
Publication statusPublished - Sep 29 2014
Event3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan
Duration: Aug 31 2014Sep 4 2014

Publication series

NameProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

Other

Other3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
CountryJapan
CityKitakyushu
Period8/31/149/4/14

Fingerprint

Data mining

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Wu, Z., & Ito, E. (2014). Correlation analysis between user's emotional comments and popularity measures. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014 (pp. 280-283). [6913309] (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2014.65

Correlation analysis between user's emotional comments and popularity measures. / Wu, Zechen; Ito, Eisuke.

Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 280-283 6913309 (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014).

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

Wu, Z & Ito, E 2014, Correlation analysis between user's emotional comments and popularity measures. in Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014., 6913309, Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 280-283, 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014, Kitakyushu, Japan, 8/31/14. https://doi.org/10.1109/IIAI-AAI.2014.65
Wu Z, Ito E. Correlation analysis between user's emotional comments and popularity measures. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 280-283. 6913309. (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). https://doi.org/10.1109/IIAI-AAI.2014.65
Wu, Zechen ; Ito, Eisuke. / Correlation analysis between user's emotional comments and popularity measures. Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 280-283 (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014).
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