Presentation | 2002/3/7 Text Classification using Features of Educational Contents Akira KITAUCHI, Toru TAKAKI, Ken'ichiro YAMAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose three methods for the classification of educational contents based on features of reference books for students. The document in the reference books has the following features: 1) the vocabulary is smaller than in news articles, 2) an important word in one document is used in the following documents repeatedly because students learn more difficult things step by step, and 3) a specific expression appears in the document. Using these features, we classify documents with three methods: gradual document classification, priority to previous documents, and extraction of important words in each document. Experimental evaluation using the educational reference books shows that each proposed method improves the classification accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text categorization / Educational contents |
Paper # | NLC2001-91 |
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Committee | NLC |
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Conference Date | 2002/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Text Classification using Features of Educational Contents |
Sub Title (in English) | |
Keyword(1) | Text categorization |
Keyword(2) | Educational contents |
1st Author's Name | Akira KITAUCHI |
1st Author's Affiliation | NTT Data Corporation() |
2nd Author's Name | Toru TAKAKI |
2nd Author's Affiliation | NTT Data Corporation |
3rd Author's Name | Ken'ichiro YAMAMOTO |
3rd Author's Affiliation | Telecommunications Advancement Organization of Japan |
Date | 2002/3/7 |
Paper # | NLC2001-91 |
Volume (vol) | vol.101 |
Number (no) | 711 |
Page | pp.pp.- |
#Pages | 8 |
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