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Document classification using domain specific kanji characters extracted by X^2^ method by Yasuhiko Watanabe; Masaki Murata; Masahito Takeuchi; Makoto Nagao is a scholarly article available to read on EtoBox.

What is Document classification using domain specific kanji characters extracted by X^2^ method about?

In this paper we describe a method of classifying Japanese text documents using domain specific kanji charactcrs. Text documents are generally cb~ssified by significant words (keywords) of the documents. However, it is difficult to extract these significant words from Japanese text, because Japanese texts are written without using blank spaces, such as delimiters, and must be segmented into words. Therefore, instead of words, we used domain specific kanji characters which appear more frequently in one domain than the other. We extracted these domain specific kanji characters by X ,2 method. Then, using these domain specific kanji characters, we classifted editorial columns "TENSEI JINGO", editorim articles, and articles in "Scientific American (in Japanese)". The correct recognition scores for' them were 47%, 74%, and 85%, respectively.

Author

Yasuhiko Watanabe; Masaki Murata; Masahito Takeuchi; Makoto Nagao

Publisher

Association for Computational Linguistics

Published

1996

Language

EN