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A Method to Monitor a BBS Using Feature Extraction of Text Data

  • Conference paper
Web and Communication Technologies and Internet-Related Social Issues - HSI 2005 (HSI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3597))

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Abstract

Electronic bulletin board (BBS) has a problem which is action to obstruct communications (the authors use “obstruction on bulletin board”). The authors introduced system that aids an operator to find such obstruction based on feature extraction of words which causes harmful psychological effects on readers. We propose a new evaluation method using “Ruination Figure” which is calculated by feature extraction. This index is displayed in two ways of stock chart for BBS operator to see trend of the index and find harmful obstruction in the BBS.

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Author information

Authors and Affiliations

  1. Graduate School of Information Sciences, Tohoku University,  

    Yu Ichifuji

  2. Information Synergy Center, Tohoku University,  

    Susumu Konno & Hideaki Sone

Authors
  1. Yu Ichifuji
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  2. Susumu Konno
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  3. Hideaki Sone
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Editor information

Editors and Affiliations

  1. Osaka University, Cybermedia Center, 5-1 Mihogaoka, Ibaraki, 567-0047, Osaka, Japan

    Shinji Shimojo

  2. Graduate School of Mathematical Sciences, University of Tokyo, 3-8-1 Komaba, Meguro-ku, 153-8914, Tokyo, Japan

    Shingo Ichii

  3. School of Computing, National University of Singapore,  

    Tok-Wang Ling

  4. National Internet Development Agency of Korea, 3F, 1321-11 Secho-2 Dong, Secho-Gu, 135-875, Seoul, Korea

    Kwan-Ho Song

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© 2005 Springer-Verlag Berlin Heidelberg

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Ichifuji, Y., Konno, S., Sone, H. (2005). A Method to Monitor a BBS Using Feature Extraction of Text Data. In: Shimojo, S., Ichii, S., Ling, TW., Song, KH. (eds) Web and Communication Technologies and Internet-Related Social Issues - HSI 2005. HSI 2005. Lecture Notes in Computer Science, vol 3597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527725_38

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  • DOI: https://doi.org/10.1007/11527725_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27830-6

  • Online ISBN: 978-3-540-31808-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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