This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
- 257 views
- 246 downloads
Associating Terms with Text Categories
-
- Author(s) / Creator(s)
-
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
-
- Type of Item
- Report
-
- License
- Attribution 3.0 International