Presentation 2011-07-07
Visualization method for text classification to assist interpretation of the results
Osamu SEGAWA, Kazuhiko MURAKAMI, Masaki MIZUNO, Munehiro FURUSATO,
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Abstract(in English) We have developed a visualization technique for text classification and clustering. First, in this paper, we propose a visualization method for text classification to assist interpretation of the results. In our method, text classification is based on vector-space model, and the multi-dimensional data are mapped on 2D plane. Viewing the 2D maps, the users find typical or unique opinions and correlation of the categories. Second, we also describe the application of the visualization method to text clustering using NMF.
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Keyword(in English) Text mining / Text classification / Clustering / NMF / Visualization
Paper # NLC2011-5
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Committee NLC
Conference Date 2011/6/30(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) Visualization method for text classification to assist interpretation of the results
Sub Title (in English)
Keyword(1) Text mining
Keyword(2) Text classification
Keyword(3) Clustering
Keyword(4) NMF
Keyword(5) Visualization
1st Author's Name Osamu SEGAWA
1st Author's Affiliation Chubu Electric Power Co., Inc.()
2nd Author's Name Kazuhiko MURAKAMI
2nd Author's Affiliation Chuden CTI Co, Ltd.
3rd Author's Name Masaki MIZUNO
3rd Author's Affiliation Chuden CTI Co, Ltd.
4th Author's Name Munehiro FURUSATO
4th Author's Affiliation Chuden CTI Co, Ltd.
Date 2011-07-07
Paper # NLC2011-5
Volume (vol) vol.111
Number (no) 119
Page pp.pp.-
#Pages 4
Date of Issue