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

• Type: Conference
• Year: 1999
• Where: KDD
• Authors: Jochen Dörre, Peter Gerstl, Roland Seiffert
• Keywords: Data Mining, KDD 1999, Keywords Text Mining, Text Mining, Text Mining Appliesthe