Text classification and keyword extraction by learning decision trees

Yasubumi Sakakibara, Kazuo Misue, Takeshi Koshiba

研究成果: Conference contribution

8 引用 (Scopus)

抜粋

In this paper, we propose a completely new approach to the problem of text classification and automatic keyword extraction by using machine learning techniques. We introduce a class of representations for classifying text data based on decision trees, and present an algorithm for learning it inductively. Our algorithm has the following features: it does not need any natural language processing technique, and it is robust for noisy data. We show that our learning algorithm can be used for automatic extraction of keywords for text retrieval and automatic text categorization. We also demonstrate some experimental results using our algorithm.

元の言語English
ホスト出版物のタイトルProceedings of the Conference on Artificial Intelligence Applications
出版者Publ by IEEE
ページ数1
ISBN(印刷物)0818638400
出版物ステータスPublished - 1993 1 1
イベントProceedings of the 9th Conference on Artificial Intelligence for Applications - Orlando, FL, USA
継続期間: 1993 3 11993 3 5

出版物シリーズ

名前Proceedings of the Conference on Artificial Intelligence Applications

Other

OtherProceedings of the 9th Conference on Artificial Intelligence for Applications
Orlando, FL, USA
期間93/3/193/3/5

ASJC Scopus subject areas

  • Software

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  • これを引用

    Sakakibara, Y., Misue, K., & Koshiba, T. (1993). Text classification and keyword extraction by learning decision trees. : Proceedings of the Conference on Artificial Intelligence Applications (Proceedings of the Conference on Artificial Intelligence Applications). Publ by IEEE.