Presentation 1999/1/11
A Topic Identification Method based on Statistical and Conceptual Information of Words
Tomohiro Fukuhara, Hideaki Takeda, Toyoaki Nishida,
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Abstract(in English) A topic identification method based on the statistical information of words is described. We identify text topics based on the generality of words. To determine the generality of words, we use the kurtosis and the skewness of the distribution of words. We developed a system which identifies general/special topics. Some example and experimental results are discussed.
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Keyword(in English) Topic Identification / Text Summarization / Multiple-Text Summarization / Text Clustering / Statistical Information
Paper # AI98-62
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Committee AI
Conference Date 1999/1/11(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Topic Identification Method based on Statistical and Conceptual Information of Words
Sub Title (in English)
Keyword(1) Topic Identification
Keyword(2) Text Summarization
Keyword(3) Multiple-Text Summarization
Keyword(4) Text Clustering
Keyword(5) Statistical Information
1st Author's Name Tomohiro Fukuhara
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Hideaki Takeda
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Toyoaki Nishida
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 1999/1/11
Paper # AI98-62
Volume (vol) vol.98
Number (no) 498
Page pp.pp.-
#Pages 8
Date of Issue