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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 7 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
NLDB
2010
Springer
13 years 11 months ago
Semantic Content Access Using Domain-Independent NLP Ontologies
We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of exis...
René Witte, Ralf Krestel
BIB
2005
129views more  BIB 2005»
13 years 7 months ago
Text mining and ontologies in biomedicine: Making sense of raw text
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to locate, retrieve and manage the reported information without text mining, which a...
Irena Spasic, Sophia Ananiadou, John McNaught, Ana...
BIB
2007
114views more  BIB 2007»
13 years 7 months ago
Frontiers of biomedical text mining: current progress
It is now almost15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. En...
Pierre Zweigenbaum, Dina Demner-Fushman, Hong Yu, ...
CORR
2010
Springer
215views Education» more  CORR 2010»
13 years 7 months ago
Text Classification using the Concept of Association Rule of Data Mining
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of...
Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Par...