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FLAIRS
2006
15 years 8 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
ICDE
2008
IEEE
127views Database» more  ICDE 2008»
16 years 8 months ago
Optimizing SQL Queries over Text Databases
Text documents often embed data that is structured in nature, and we can expose this structured data using information extraction technology. By processing a text database with inf...
Alpa Jain, AnHai Doan, Luis Gravano
WWW
2007
ACM
16 years 7 months ago
Query-driven indexing for peer-to-peer text retrieval
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as ...
Gleb Skobeltsyn, Toan Luu, Karl Aberer, Martin Raj...
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
15 years 10 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
16 years 1 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen