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» Selecting Features for Ordinal Text Classification
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DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 6 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 5 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
ACL
2009
13 years 2 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...
ICMLA
2009
13 years 2 months ago
Text Classification Methodologies Applied to Micro-Text in Military Chat
We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologi...
Kevin Dela Rosa, Jeffrey Ellen
ADCS
2004
13 years 6 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick