Conference proceeding
Automatic text categorization and its application to text retrieval
IEEE transactions on knowledge and data engineering, Vol.11(6), pp.865-879
11/1999
DOI: 10.1109/69.824599
Abstract
We develop an automatic text categorization approach and investigate its application to text retrieval. The categorization approach is derived from a combination of a learning paradigm known as instance-based learning and an advanced document retrieval technique known as retrieval feedback. We demonstrate the effectiveness of our categorization approach using two real-world document collections from the MEDLINE database. Next, we investigate the application of automatic categorization to text retrieval. Our experiments clearly indicate that automatic categorization improves the retrieval performance compared with no categorization. We also demonstrate that the retrieval performance using automatic categorization achieves the same retrieval quality as the performance using manual categorization. Furthermore, detailed analysis of the retrieval performance on each individual test query is provided.
Details
- Title: Subtitle
- Automatic text categorization and its application to text retrieval
- Creators
- Wai Lam - Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin, Hong KongM RuizP Srinivasan - University of Iowa, Computer Science
- Resource Type
- Conference proceeding
- Publication Details
- IEEE transactions on knowledge and data engineering, Vol.11(6), pp.865-879
- Publisher
- IEEE
- DOI
- 10.1109/69.824599
- ISSN
- 1041-4347
- eISSN
- 1558-2191
- Language
- English
- Date published
- 11/1999
- Academic Unit
- Business Analytics; Computer Science; Nursing
- Record Identifier
- 9984003795802771
Metrics
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