Presentation 2011-01-28
Extraction Method for Fluctuation of Concept Attributes based on Weblogs
Yosuke HORIUCHI, Osamu UCHIDA,
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Abstract(in English) Concept-bases are composed of a collection of concept attributes and applied to information retrieval system recently. To construct concept-bases, the data of the dictionaries is usually used. However, concept attributes are not always static, that is, some of them change by the influence of a variety of events and happenings. For example, it is to be expected that the attributes of the sports in the concept attribute of the country holding some sports event are stronger than usual time, or they are append to the concept attribute of the country. In this study, we consider the application of weblogs to extract the fluctuations of concept attributes. Many of articles of weblogs are influenced by the news, and the number of documents of weblogs is very large. Then, in this study, we propose a new method to extract the influence of a variety of events and happenings to attributes by regarding the tags given to an article as an attribute of the words in the article, and examine the effectiveness of our method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Concept Attribute / Concept-Base / Weblog / Collective Intelligence
Paper # NLC2010-40
Date of Issue

Conference Information
Committee NLC
Conference Date 2011/1/20(1days)
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Paper Information
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) Extraction Method for Fluctuation of Concept Attributes based on Weblogs
Sub Title (in English)
Keyword(1) Concept Attribute
Keyword(2) Concept-Base
Keyword(3) Weblog
Keyword(4) Collective Intelligence
1st Author's Name Yosuke HORIUCHI
1st Author's Affiliation Graduate School of Engineering, Tokai University()
2nd Author's Name Osamu UCHIDA
2nd Author's Affiliation Dept. Human and Info. Science, Tokai University
Date 2011-01-28
Paper # NLC2010-40
Volume (vol) vol.110
Number (no) 400
Page pp.pp.-
#Pages 4
Date of Issue