483 search results - page 1 / 97 » Sampling the Web as Training Data for Text Classification |
100
click to vote
IJDLS
2010
14 years 10 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...
125
click to vote
IPM
2008
15 years 1 months ago
2008
Authorship analysis of electronic texts assists digital forensics and anti-terror investigation. Author identification can be seen as a single-label multi-class text categorizatio...
136
click to vote
ICDM
2003
IEEE
15 years 6 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...
106
click to vote
MICAI
2007
Springer
15 years 7 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
115
click to vote
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...