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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.
Review
2018
Review
2018
Sentiment Analysis Using Text Mining: A Review
Text mining and sentiment analysis have received huge attention recently, specially because of the availability of vast data in… 
Review
2018
Review
2018
A survey of incremental high‐utility itemset mining
Traditional association rule mining has been widely studied. But it is unsuitable for real‐world applications where factors such… 
Highly Cited
2016
Highly Cited
2016
The determinants of crowdfunding success: A semantic text analytics approach
Highly Cited
2014
Highly Cited
2014
CrossRef's Text and Data Mining Services
CrossRef (http://www.crossref.org/) is an association of scholarly publishers that develops shared infrastructure to support more… 
Review
2014
Review
2014
The influence of reviewer engagement characteristics on online review helpfulness: A text regression model
Highly Cited
2013
Highly Cited
2013
Efficient Bug Triaging Using Text Mining
Large open source software projects receive abundant rates of submitted bug reports. Triaging these incoming reports manually is… 
Highly Cited
2011
Highly Cited
2011
Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm
Highly Cited
2005
Highly Cited
2005
A systematic approach for identifying technology opportunities: Keyword-based morphology analysis
Highly Cited
2004
Highly Cited
2004
A text-mining-based patent network: Analytical tool for high-technology trend
Highly Cited
2001
Highly Cited
2001
Text mining methods: an answer to Chartier and Meunier
Almost 20 years ago, in a paper introducing the text mining (TM) technique to my fellow statisticians, I expressed the fear that… 
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