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ICDAR
2009
IEEE
13 years 3 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
ACL
2009
13 years 3 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
CIKM
2005
Springer
13 years 10 months ago
A structure-sensitive framework for text categorization
Ganesh Ramakrishnan, Deepa Paranjpe, Byron Dom
CIVR
2009
Springer
146views Image Analysis» more  CIVR 2009»
13 years 12 months ago
Web news categorization using a cross-media document graph
In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Micr...
José Iria, Fabio Ciravegna, João Mag...
ICML
1997
IEEE
14 years 6 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims