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» Text Classification Using Stochastic Keyword Generation
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KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 8 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
CHI
2009
ACM
14 years 8 months ago
iBookmark: locative texts and place-based authoring
With the recent developments in ePaper technology, consumer eBook readers have display qualities and form factors that are approaching that of traditional books. These eBook reade...
Johannes Schöning, Tom Bartindale, Patrick Ol...
DAS
2006
Springer
13 years 11 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
13 years 11 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li
SIGIR
2010
ACM
13 years 11 months ago
Short text classification in twitter to improve information filtering
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...