ファジィ近傍モデルを用いたウェブテキスト解析

鈴木 昭平; 松崎 慧太; 宮本 定明

doi:10.14864/fss.29.0_20

29th Fuzzy System Symposium

Session ID : MB3-1

DOI https://doi.org/10.14864/fss.29.0_20

Conference information

Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

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Analysis of web texts using fuzzy neighborhood model

Shohei Suzuki, *Keita Matsuzaki, Sadaaki Miyamoto

Author information

Keywords: fuzzy neighborhood, kernel space, clustering, web text

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

A family of fuzzy neighborhood models are introduced which takes mutual distances of keywords in a text, whereby keyword space becomes a kernel Euclidean space. Therefore many methods based on kernel spaces can be applied. Theory and applications to web text are discussed.

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