This is a decommissioned version of ERA which is running to enable completion of migration processes. All new collections and items and all edits to existing items should go to our new ERA instance at https://ualberta.scholaris.ca - Please contact us at erahelp@ualberta.ca for assistance!
- 240 views
- 227 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