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AAAI
2006
13 years 6 months ago
Proposing a New Term Weighting Scheme for Text Categorization
In text categorization, term weighting methods assign appropriate weights to the terms to improve the classification performance. In this study, we propose an effective term weigh...
Man Lan, Chew Lim Tan, Hwee-Boon Low
ITCC
2002
IEEE
13 years 9 months ago
Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is t...
Ying Zhao, George Karypis
SIGIR
2008
ACM
13 years 4 months ago
Exploiting subjectivity analysis in blogs to improve political leaning categorization
In this paper, we address a relatively new and interesting text categorization problem: classify a political blog as either liberal or conservative, based on its political leaning...
Maojin Jiang, Shlomo Argamon
CIKM
2008
Springer
13 years 6 months ago
Semi-supervised text categorization by active search
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu...
SAC
2006
ACM
13 years 10 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach