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» Text classification from positive and unlabeled documents
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FSKD
2005
Springer
98views Fuzzy Logic» more  FSKD 2005»
14 years 2 months ago
Extraction of Representative Keywords Considering Co-occurrence in Positive Documents
In linear text classification, user feedback is usually used to tune up the representative keywords (RK) for a certain class. Despite some algorithms (e.g. Rocchio) deal well with...
Byeong Man Kim, Qing Li, KwangHo Lee, Bo-Yeong Kan...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 3 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
ECML
2007
Springer
14 years 15 days ago
Semi-supervised Collaborative Text Classification
Most text categorization methods require text content of documents that is often difficult to obtain. We consider "Collaborative Text Categorization", where each document...
Rong Jin, Ming Wu, Rahul Sukthankar
SMC
2010
IEEE
186views Control Systems» more  SMC 2010»
13 years 7 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman
CORR
2010
Springer
215views Education» more  CORR 2010»
13 years 8 months ago
Text Classification using the Concept of Association Rule of Data Mining
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of...
Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Par...