A method to monitor a BBS using feature extraction of text data

Yu Ichifuji, Susumu Konno, Hideaki Sone

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)349-352
Number of pages4
JournalLecture Notes in Computer Science
Volume3597
DOIs
Publication statusPublished - 2005
Event3rd International Conference on Human.Society@Internet - HSI 2005 - Tokyo, Japan
Duration: 2005 Jul 272005 Jul 29

Fingerprint

Dive into the research topics of 'A method to monitor a BBS using feature extraction of text data'. Together they form a unique fingerprint.

Cite this