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FCSC
2010
238views more  FCSC 2010»
13 years 2 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
13 years 8 months ago
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu
AND
2010
13 years 2 months ago
Statement map: reducing web information credibility noise through opinion classification
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 5 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
CIKM
2007
Springer
13 years 11 months ago
Improving the classification of newsgroup messages through social network analysis
Newsgroup participants interact with their communities through conversation threads. They may respond to a message to answer a question, debate a topic, support or disagree with a...
Blaz Fortuna, Eduarda Mendes Rodrigues, Natasa Mil...