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ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 5 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
IBPRIA
2005
Springer
13 years 11 months ago
Extended Bi-gram Features in Text Categorization
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Xian Zhang, Xiaoyan Zhu
ECAI
2008
Springer
13 years 7 months ago
Author Identification Using a Tensor Space Representation
Author identification is a text categorization task with applications in intelligence, criminal law, computer forensics, etc. Usually, in such cases there is shortage of training t...
Spyridon Plakias, Efstathios Stamatatos
AIRS
2004
Springer
13 years 10 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
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