115 search results - page 1 / 23 » Training Data Cleaning for Text Classification |
ICTIR
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
LREC
2008
13 years 6 months ago
2008
Originally conceived as a "naive" baseline experiment using traditional n-gram language models as classifiers, the NCLEANER system has turned out to be a fast and lightw...
EMNLP
2010
13 years 3 months ago
2010
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
IJDLS
2010
13 years 2 months ago
2010
Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...