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» Towards Using Fewer Features for Text Classification
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AAAI
2004
15 years 1 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
ICPR
2004
IEEE
16 years 27 days ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
EMNLP
2009
14 years 9 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff
CCS
2005
ACM
15 years 5 months ago
Keyboard acoustic emanations revisited
We examine the problem of keyboard acoustic emanations. We present a novel attack taking as input a 10-minute sound recording of a user typing English text using a keyboard, and t...
Li Zhuang, Feng Zhou, J. D. Tygar
ICIP
2005
IEEE
16 years 1 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...