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ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 4 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
WWW
2005
ACM
14 years 5 months ago
A comprehensive comparative study on term weighting schemes for text categorization with support vector machines
Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital step in automatic text categorization. In this paper, we conducted com...
Man Lan, Chew Lim Tan, Hwee-Boon Low, Sam Yuan Sun...
IJCNN
2007
IEEE
13 years 11 months ago
Text Representations for Text Categorization: A Case Study in Biomedical Domain
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
Man Lan, Chew Lim Tan, Jian Su, Hwee-Boon Low
CBMS
2007
IEEE
13 years 11 months ago
Text Categorization for Multi-label Documents and Many Categories
In this paper, we propose a new classification method that addresses classification in multiple categories of textual documents. We call it Matrix Regression (MR) due to its resem...
Iulian Sandu Popa, Karine Zeitouni, Georges Gardar...
CIKM
2008
Springer
13 years 6 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti