Presentation 2001/7/10
Building A Visualization System for Social Information With Re-clustering
Masamichi Iwamoto, Masato Ishizaki, Susumu Kunifuji,
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Abstract(in English) To support the user's re-structuring of a large amount of social information such as newspaper articles, we build a social information visualizaion system with the functions of 1) displaying the information using the terms, their spatial relations on time axis and the original text and 2) re-clustering the information based on the user's feedback. To realize effective re-clustering, the experiments concerning the term weighting and selection methods were conducted. The experimental results suggested that for the documents containing a small percentage of the co-occurring terms, the forced co-occurrence method is effective for improving the precision and recall. For the documents full of co-occurring terms, the TFIDF or x^2 based method should be used for better recall and the forced co-occurrence for better precision.
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Paper # NLC2001-30
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Conference Information
Committee NLC
Conference Date 2001/7/10(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Building A Visualization System for Social Information With Re-clustering
Sub Title (in English)
Keyword(1)
1st Author's Name Masamichi Iwamoto
1st Author's Affiliation Japan International Cooperation Agency()
2nd Author's Name Masato Ishizaki
2nd Author's Affiliation School of Knowledge Science, Japan Advanced Institute of Science and Technology
3rd Author's Name Susumu Kunifuji
3rd Author's Affiliation School of Knowledge Science, Japan Advanced Institute of Science and Technology
Date 2001/7/10
Paper # NLC2001-30
Volume (vol) vol.101
Number (no) 190
Page pp.pp.-
#Pages 8
Date of Issue