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

  • Yu Ichifuji
  • Susumu Konno
  • Hideaki Sone
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3597)

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.

Keywords

Feature Extraction Negative Word Bulletin Board Positive Word Internet Experience 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yu Ichifuji
    • 1
  • Susumu Konno
    • 2
  • Hideaki Sone
    • 2
  1. 1.Graduate School of Information SciencesTohoku University 
  2. 2.Information Synergy CenterTohoku University 

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