SVM Categorizer: A generic categorization tool using Support Vector Machines

Proceedings of the International Conference on Artificial Intelligence, IC-AI'04

Volumn 2, Issue , 2004, Pages 1109-1112

  Kapoutsis, Elias ^a   Theodoulidis, Babis ^a   Saraee, Mohammad ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF SALFORD   (United Kingdom)

Author keywords

Support Vector Machine; Text categorisation

Indexed keywords

ALGORITHMS; CHAOS THEORY; FUNCTIONS; INFORMATION ANALYSIS; MATHEMATICAL TRANSFORMATIONS; PROBLEM SOLVING; WEBSITES;

LEARNING TEXT; ON-LINE INFORMATION; SUPPORT VECTOR MACHINE; TEXT CATEGORIZATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 12744262002     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Cooley R., "Classification of News Stories Using Support Vector Machines", in IJCAI'99 Workshop on Text Mining, Stockholm, Sweden, 1999.
2. Jain K. A., Dubes C. R., "Algorithms for clustering data", Prentice Hall Inc., Englewood Cliffs, New Jersey 1988.
3. Joachims T., "A Statistical Learning Model of Text Classification for Support Vector Machines", Proceedings of SIGIR-01, 24th ACM International Conference on Research and Development in Information Retrieval, 2001.
4. Joachimes T., "Learning to Classify Text using Support Vector Machines: Methods, Theory, and Algorithms", Kluwer Academic Publishers, Boston - Dordrecht - London, 2002.
5. Makoto I. - Takenobu T., "Text Categorization based on weighted inverse document frequency", Technical Report, Tokyo Institute of Technology, 1994.