Hierarchical classification of Web content
Author:
Affiliation:
1. Microsoft Research, One Microsoft Way, Redmond, WA
2. Computer Science Division, University of California at Berkeley, Berkeley, CA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/345508.345593
Reference30 articles.
1. Automated learning of decision rules for text categorization
2. Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
3. Bringing order to the Web
4. Context-sensitive learning methods for text categorization
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