Book chapter
A Genetic Programming Approach for Combining Structural and Citation-Based Evidence for Text Classification in Web Digital Libraries
Soft Computing in Web Information Retrieval, pp.65-83
Studies in Fuzziness and Soft Computing, Springer Berlin Heidelberg
2006
DOI: 10.1007/3-540-31590-X_4
Abstract
This paper investigates how citation-based information and structural content (e.g., title, abstract) can be combined to improve classification of text documents into predefined categories. We evaluate different measures of similarity, five derived from the citation structure of the collection, and three measures derived from the structural content, and determine how they can be fused to improve classification effectiveness. To discover the best fusion framework, we apply Genetic Programming (GP) techniques. Our empirical experiments using documents from the ACM digital library and the ACM classification scheme show that we can discover similarity functions that work better than any evidence in isolation and whose combined performance through a simple majority voting is comparable to that of Support Vector Machine classifiers.
Details
- Title: Subtitle
- A Genetic Programming Approach for Combining Structural and Citation-Based Evidence for Text Classification in Web Digital Libraries
- Creators
- Baoping Zhang - Virginia TechWeiguo Fan - Virginia TechYuxin Chen - Virginia TechEdward A. Fox - Virginia TechMarcos André Gonçalves - Universidade Federal de Minas GeraisMarco Cristo - Universidade Federal de Minas GeraisPável Calado - Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
- Resource Type
- Book chapter
- Publication Details
- Soft Computing in Web Information Retrieval, pp.65-83
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Studies in Fuzziness and Soft Computing
- DOI
- 10.1007/3-540-31590-X_4
- ISSN
- 1434-9922
- Language
- English
- Date published
- 2006
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380419302771
Metrics
2 Record Views