Feature Extraction Using Restricted Bootstrapping - 九大コレクション

＜会議発表論文＞
Feature Extraction Using Restricted Bootstrapping

作成者	作成者名廣川, 佐千男 Hirokawa, Sachio 所属機関所属機関名九州大学情報基板研究開発センター Research Institute for Information Technology, Kyushu University
本文言語	英語
出版者	IEEE
発行日	2012-05
収録物名	2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS)
開始ページ	283
終了ページ	288
出版タイプ	Accepted Manuscript
アクセス権	open access
関連DOI	http://doi.org/10.1109/ICIS.2012.50
関連URI	http://doi.org/10.1109/ICIS.2012.50
関連情報	http://doi.org/10.1109/ICIS.2012.50
概要	The bootstrapping method is known as an application of the ranking technique of Google for documents and words. The technique calculates a importance of the word by propagating the score of the word a...nd the document mutually. However, sometimes the result is far away from the query word. The problem is known as "Topic drift". This paper proposes the restriction to high-ranking words in the process of bootstrapping. The method is simpler than the technique so far and generalized method such as limiting the emerging pattern of the word. It is confirmed that the method was able to prevent the topic drift, and to extract the bankruptcy reason strongly related to the query word the real bankruptcy information documents.続きを見る

ファイル	ファイルタイプ	サイズ	閲覧回数	説明
hirokawa_83	pdf	74.3 KB	344

レコードID	1546804
査読有無	査読有
主題	topic drift
	feature word
	bankruptcy information
	text mining
ISBN	978-1-4673-1536-4
DOI	10.1109/ICIS.2012.50
注記	2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS) : 30 May - 01 Jun 2012 : Shanghai, China
登録日	2015.12.10
更新日	2016.03.23