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Associating Terms with Text Categories
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Technical report TR01-04. Discriminating between text articles and automatically classifying documents is an essential task for many applications. With the prevalence of digital documents and the wide use of e-mail and web documents, text categorization is regaining interest and is becoming a central problem in digital text collections. There have been many approaches to solve this problem, mainly from the machine learning community. This paper proposes a new fast method for building a text classifier using association rule mining by discovering associations between terms and topical categories of documents. | TRID-ID TR01-04
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- Date created
- 2001
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- Type of Item
- Report
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- License
- Attribution 3.0 International