A Domain Independent Environment for Creating Information Extraction Modules

Text-Mining is a growing area of interest within the field of Data Mining and Knowledge Discovery. Given a collection of text documents, most approaches to Text Mining perform knowledgediscovery operations either on external tags associated with each document, or on the set of all words within each document. Both approaches suffer from limitations. This paper focuses on an intermediate approach, one that we call text mining via information extraction, in which knowledge discovery takes place on focused, relevant terms, phrases and facts, as extracted from the documents. Categories and Subject Descriptors Text Mining General Terms Visualizations, Development Environments, Information Extraction.

• Type: Conference
• Year: 2001
• Where: CIKM
• Authors: Ronen Feldman, Yonatan Aumann, Yair Liberzon, Kfir Ankori, Yonatan Schler, Binyamin Rosenfeld
• Keywords: CIKM 2001, Information Management, Knowledge Discovery, Mining Perform Knowledgediscovery, Text Mining