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Text mining

Known as: Text-mining, Textmining, Intelligent text analysis 
Text mining, also referred to as text data mining, roughly equivalent to , refers to the process of deriving high-quality information from text. High… 
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AI-completeAd servingAnne O'TateApache UIMA

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
An approach for Intrusion Detection using Text Mining Techniques
The problem of clustering is NP-Complete. The existing clustering algorithm in literature is the approximate algorithms, which… 
Highly Cited
2013
Highly Cited
2013
Generalization of One-Sided Concept Lattices
We provide a generalization of one-sided (crisp-fuzzy) concept lattices, based on Galois connections. Our approach allows… 
Review
2013
Review
2013
An empirical study on applying data mining techniques for the analysis and prediction of heart disease
The health care environment is found to be rich in information, but poor in extracting knowledge from the information. This is… 
Highly Cited
2009
Highly Cited
2009
Web service clustering using text mining techniques
The idea of a decentralised, self-organising service-oriented architecture seems to be more and more plausible than the… 
2007
2007
Data Mining Patterns: New Methods and Applications
Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research… 
Review
2006
Review
2006
Systematic acceleration of radical discovery and innovation in science and technology
Highly Cited
2006
Highly Cited
2006
Ontology based text indexing and querying for the semantic web
Highly Cited
2005
Highly Cited
2005
Experiments with Mood Classification in
We present preliminary work on classifying blog text according to the mood reported by its author during the writing. Our data… 
Highly Cited
2003
Highly Cited
2003
Multi-Database Mining
— Multi-database mining is an important research area because (1) there is an urgent need for analyzing data in different sources… 
2002
2002
Sentence Extraction by tf/idf and Position Weighting from Newspaper Articles
and weighting strategy to mine from a number of documents(cid:3) 
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