60 search results - page 8 / 12 » Text Classification from Labeled and Unlabeled Documents usi... |
IJCAI
2007
13 years 9 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...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
ACL
2009
13 years 5 months ago
2009
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
EMNLP
2006
13 years 9 months ago
2006
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
SAC
2004
ACM
14 years 27 days ago
2004
ACM
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...