35 search results - page 2 / 7 » CBC: Clustering Based Text Classification Requiring Minimal ... |
DASFAA
2004
IEEE
13 years 9 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
ICTIR
2009
Springer
13 years 3 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...
AUSDM
2008
Springer
13 years 7 months ago
2008
Springer
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
SIGIR
2010
ACM
13 years 5 months ago
2010
ACM
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...