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» Towards Using Fewer Features for Text Classification
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ISI
2005
Springer
15 years 5 months ago
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content
Experiments were conducted to test several hypotheses on methods for improving document classification for the malicious insider threat problem within the Intelligence Community. ...
Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balas...
CLEF
2004
Springer
15 years 5 months ago
Toward Cross-Language and Cross-Media Image Retrieval
This report describes the approach used in our participation of ImageCLEF. Our focus is on image retrieval using text, i.e. Cross-Media IR. To do this, we first determine the str...
Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, J...
CSCW
2010
ACM
15 years 8 months ago
Reading between the lines: linguistic cues to deception in online dating profiles
This study investigates whether deception in online dating profiles is detectable through a linguistic approach, which assumes that liars nonconsciously produce different word pat...
Catalina L. Toma, Jeffrey T. Hancock
ICMLC
2010
Springer
14 years 9 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
CIKM
2010
Springer
14 years 10 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...