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Permanent link (DOI): https://doi.org/10.7939/R3DN4035D

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Associating Terms with Text Categories Open Access

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Author or creator
Zaiane, Osmar
Antonie, Maria-Luiza
Additional contributors
Subject/Keyword
Database Systems
Classification
Text categorization
Text mining
Association rules
Type of item
Computing Science Technical Report
Computing science technical report ID
TR01-04
Language
English
Place
Time
Description
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.
Date created
2001
DOI
doi:10.7939/R3DN4035D
License information
Creative Commons Attribution 3.0 Unported
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