Sciweavers

Share
KDD
1999
ACM

Text Mining: Finding Nuggets in Mountains of Textual Data

11 years 9 months ago
Text Mining: Finding Nuggets in Mountains of Textual Data
Text mining appliesthe sameanalytical functions of datamining to the domainof textual information, relying on sophisticatedtext analysis techniques that distill information from free-text documents. IBM’s Intelligent Miner for Text provides the necessary tools to unlock the business information that is “trapped” in email, insurance claims, news feeds, or other document repositories. It has been successfully applied in analyzing patentportfolios, customercomplaint letters,and even competitors’ Web pages. After defining our notion of “text mining”, we focus on the differences between text and data mining anddescribein somemore detail the unique technologies that arekey to successfultext mining. Keywords Text mining, feature extraction, text categorization, clustering, customerrelationship management
Jochen Dörre, Peter Gerstl, Roland Seiffert
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where KDD
Authors Jochen Dörre, Peter Gerstl, Roland Seiffert
Comments (0)
books