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» Document Classification Using Multiword Features
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SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
13 years 11 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
ICFHR
2010
166views Biometrics» more  ICFHR 2010»
12 years 11 months ago
Handwritten Mail Classification Experiments with the Rimes Database
In this paper, we consider the task of automatic handwritten mail classification and we investigate the relation between the transcription rate and the classification rate. Severa...
Christopher Kermorvant, Jérôme Lourad...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 6 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
CASCON
2006
150views Education» more  CASCON 2006»
13 years 6 months ago
Exploring a new space of features for document classification: figure clustering
Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
Nawei Chen, Hagit Shatkay, Dorothea Blostein