115 search results - page 6 / 23 » Training Data Cleaning for Text Classification |
109
click to vote
DOCENG
2007
ACM
15 years 3 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...
112
click to vote
ML
2000
ACM
14 years 11 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. ...
112
click to vote
DASFAA
2004
IEEE
15 years 3 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...
AUSAI
2008
Springer
15 years 1 months ago
2008
Springer
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
108
click to vote
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...