35 search results - page 1 / 7 » CBC: Clustering Based Text Classification Requiring Minimal ... |
ICDM
2003
IEEE
14 years 4 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
KDD
2002
ACM
14 years 11 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
CIDU
2010
13 years 9 months ago
2010
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
DAWAK
2008
Springer
14 years 19 days ago
2008
Springer
Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...