An analysis of the relative difficulty of reuters-21578 subsets

Proceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004

Volumn , Issue , 2004, Pages 971-974

  Debole, Franca ^a   Sebastiani, Fabrizio ^a  

^a ISTI CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

SEARCH ENGINES; TEXT PROCESSING;

REUTERS-21578; TEST COLLECTION; TEXT CATEGORIZATION;

SET THEORY;

EID: 33646799191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Debole, Franca and Fabrizio Sebastiani, 2003a. An analysis of the relative hardness of reuters-21578 subsets. Technical report, 2003-TR-49,Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, Pisa, IT. Submitted for publication.
2. Debole, Franca and Fabrizio Sebastiani, 2003b. Supervised term weighting for automated text categorization. In In Proceedings of SAC-03, 18th ACM Symposium on Applied Computing. Melbourne,US: ACM Press.
3. Joachims, Thorsten, 1999. Making large-scale SVM learning practical. In Bernhard Schölkopf, Christopher J. Burges, and Alexander J. Smola (eds.), Advances in Kernel Methods - Support Vector Learning, chapter 11. Cambridge, US: The MIT Press, pages 169-184.
4. Lewis, David D., 1992. Representation and learning in information retrieval. Ph.D. thesis, Department of Computer Science, University of Massachusetts, Amherst US.
5. Sebastiani, Fabrizio, 2002. Machine learning in automated text categorization. ACM Computing Surveys:34(1)1-47.