60 search results - page 10 / 12 » Text Classification from Labeled and Unlabeled Documents usi... |
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
EMNLP
2007
13 years 9 months ago
2007
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of vi...