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EWCBR
2006
Springer
13 years 8 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
ICCV
2003
IEEE
14 years 6 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
COLING
2008
13 years 6 months ago
The Choice of Features for Classification of Verbs in Biomedical Texts
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
Anna Korhonen, Yuval Krymolowski, Nigel Collier
COLING
2008
13 years 6 months ago
Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text
We describe and evaluate a new method of automatic seed word selection for unsupervised sentiment classification of product reviews in Chinese. The whole method is unsupervised an...
Taras Zagibalov, John Carroll
KDD
2008
ACM
130views Data Mining» more  KDD 2008»
14 years 5 months ago
Unsupervised feature selection for principal components analysis
Christos Boutsidis, Michael W. Mahoney, Petros Dri...