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» Text classification from positive and unlabeled documents
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CIARP
2007
Springer
14 years 17 days ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 9 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
AUSAI
2003
Springer
14 years 1 months ago
Semi-Automatic Construction of Metadata from a Series of Web Documents
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
Sachio Hirokawa, Eisuke Itoh, Tetsuhiro Miyahara
ECAI
2000
Springer
14 years 27 days ago
Background Knowledge, Indexing and Matching Interdependencies of Document Management and Ontology-Maintenance
This position paper presents an algorithm, which determines similarities between text documents. These text documents are indexed with keywords and further background knowledge-ter...
Andreas Faatz, Thomas Kamps, Ralf Steinmetz
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning from multi-topic web documents for contextual advertisement
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) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...