テキストマイニングによるトラブル事例情報の有効活用
英字タイトル:
Effective Use of Trouble Information by Text-mining Method
著者:
高橋 信 Makoto TAKAHASHI 内松 洋輔 Yousuke UTIMATU 加須屋 秀彰 Hideaki KASUYA 北村 正晴 Masaharu KITAMURA
発刊日:
公開日:
acEmailjpmakotoPrincipal Component AnalysistahakashiqseText miningtohoku
Effective Use of Trouble Information by Text-mining Method
著者:
高橋 信 Makoto TAKAHASHI 内松 洋輔 Yousuke UTIMATU 加須屋 秀彰 Hideaki KASUYA 北村 正晴 Masaharu KITAMURA
発刊日:
公開日:
カテゴリ: 第1回
キーワードタグ:acEmailjpmakotoPrincipal Component AnalysistahakashiqseText miningtohoku
概要
Abstract The method of text-mining has been applied to accumulated documents on anomaly for nuclear power plant to represent them in systematic way. The twelve event reports from the public database of the nuclear power plant anomalies have been taken as examples. I t has shown that the similarity and singularity of the event can be successfully described in the proposed framework. It has also sh own that the important key words and the contextual structure of the report have been successfully extracted by the proposed methods.
