84 search results - page 5 / 17 » Negative Training Data Can be Harmful to Text Classification |
80
Voted
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
DOCENG
2007
ACM
15 years 1 months ago
2007
ACM
Associative classification, which originates from numerical data mining, has been applied to deal with text data recently. Text data is firstly digitalized to database of transact...
IJCAI
2007
14 years 11 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
ML
2000
ACM
14 years 9 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...