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WWW
2006
ACM
14 years 5 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
DOCENG
2007
ACM
13 years 8 months ago
An efficient, streamable text format for multimedia captions and subtitles
In spite of the high profile of media types such as video, audio and images, many multimedia presentations rely extensively on text content. Text can be used for incidental labels...
Dick C. A. Bulterman, A. J. Jansen, Pablo Cé...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 2 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
CLIN
2001
13 years 6 months ago
Accurate Stemming of Dutch for Text Classification
This paper investigates the use of stemming for classification of Dutch (email) texts. We introduce a stemmer, which combines dictionary lookup (implemented efficiently as a finit...
Tanja Gaustad, Gosse Bouma
CIKM
2000
Springer
13 years 9 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...