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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© 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
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