Sciweavers

Share
CASCON
2001

Email classification with co-training

11 years 1 months ago
Email classification with co-training
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algorithm that uses unlabeled data along with a few labeled examples to boost the performance of a classifier. We experiment with co-training on the email domain. Our results show that the performance of co-training depends on the learning algorithm it uses. In particular, Support Vector Machines significantly outperforms Naive Bayes on email classification.
Svetlana Kiritchenko, Stan Matwin
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where CASCON
Authors Svetlana Kiritchenko, Stan Matwin
Comments (0)
books