Associating Terms with Text Categories

• Author(s) / Creator(s)

  • Antonie, Maria-Luiza
  • Zaiane, Osmar

• 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

• Date created

  2001

• Subjects / Keywords

  • Classification
  • Text mining
  • Text categorization
  • Association rules
  • Database Systems

• Type of Item

  Report

• DOI

  https://doi.org/10.7939/R3DN4035D

• License

  Attribution 3.0 International