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DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 5 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
125
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JAIR
2010
162views more  JAIR 2010»
15 years 10 days ago
Text Relatedness Based on a Word Thesaurus
The computation of relatedness between two fragments of text in an automated manner requires taking into account a wide range of factors pertaining to the meaning the two fragment...
George Tsatsaronis, Iraklis Varlamis, Michalis Vaz...
CIKM
2010
Springer
15 years 15 days ago
Detecting product review spammers using rating behaviors
This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of review spammers and model these behaviors so as to dete...
Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Li...
111
Voted
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
15 years 8 months ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin
148
Voted
NAACL
2003
15 years 3 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith