Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
The problem of clustering is NP-Complete. The existing clustering algorithm in literature is the approximate algorithms, which… 
Highly Cited
2014
Highly Cited
2014
tl;dr: it's a scary world out there! Welcome to the OWASP Top 10 2013! This update broadens one of the categories from the 2010… 
Highly Cited
2013
Highly Cited
2013
We provide a generalization of one-sided (crisp-fuzzy) concept lattices, based on Galois connections. Our approach allows… 
Review
2010
Review
2010
Software engineering processes are complex, and the related activities often produce a large number and variety of artefacts… 
Highly Cited
2005
Highly Cited
2005
We present preliminary work on classifying blog text according to the mood reported by its author during the writing. Our data… 
Highly Cited
2004
Highly Cited
2004
AutoMapl.2 is a network text analysis tool that extracts, analyzes, represents, and compares mental models from texts. Network… 
Highly Cited
2003
Highly Cited
2003
— Multi-database mining is an important research area because (1) there is an urgent need for analyzing data in different sources… 
2002
2002
and weighting strategy to mine from a number of documents(cid:3)