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» Text classification from positive and unlabeled documents
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BMCBI
2005
155views more  BMCBI 2005»
13 years 8 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
COLING
2002
13 years 8 months ago
Text Categorization using Feature Projections
This paper proposes a new approach for text categorization, based on a feature projection technique. In our approach, training data are represented as the projections of training ...
Youngjoong Ko, Jungyun Seo
ACL
2008
13 years 10 months ago
Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords
Since facts or statements in a hedge or negated context typically appear as false positives, the proper handling of these language phenomena is of great importance in biomedical t...
György Szarvas
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 9 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
CIKM
2009
Springer
14 years 16 days ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...