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AAAI
2004
13 years 8 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
ICB
2007
Springer
214views Biometrics» more  ICB 2007»
13 years 10 months ago
Demographic Classification with Local Binary Patterns
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH featu...
Zhiguang Yang, Haizhou Ai
ICASSP
2009
IEEE
14 years 1 months ago
Part-of-speech histograms for genre classification of text
This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classiï...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
PRIS
2004
13 years 8 months ago
Effect of Feature Smoothing Methods in Text Classification Tasks
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
David Vilar, Hermann Ney, Alfons Juan, Enrique Vid...
IAJIT
2007
104views more  IAJIT 2007»
13 years 6 months ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid