Text Mining and Its Applications: Results of the NEMIS Launch Conference

Front Cover
Spiros Sirmakessis
Springer Science & Business Media, Jan 8, 2004 - Computers - 204 pages

The world of text mining is simultaneously a minefield and a gold mine. Text Mining is a rapidly developing applications field and an area of scientific research, using techniques from well-established scientific fields such as data mining, machine learning, information retrieval, natural language processing, case-based reasoning, statistics and knowledge management. The book contains the papers presented during the 1st International Workshop on Text Mining and its Applications held at the University of Patras, which was the launch event of the activities of NEMIS, a network of excellence in the area of text mining and its applications. The conference maintained a balance between theoretical issues and descriptions of case studies to promote synergy between theory and practice in the field of Text Mining. Topics of interest included document processing and visualization techniques, web mining, text mining and knowledge management, as well as user aspects and relations to official statistics

 

Contents

Mining for Gems of Information
vii
Document Processing and Visualization a Text Mining Approach
3
Past Present and Future
21
Applications Sectors and Strategies of Text Mining a First Overall Picture
33
Text Classification of News Articles with Support Vector Machines
49
A Review of Web Document Clustering Approaches
61
Supervised Term Weighting for Automated Text Categorization
77
Machine Learning for Information Extraction in Genomics State of the Art and Perspectives
95
Processing Multilingual Collections for Text Mining Applications
115
Evaluation Methods and Criteria
127
Knowledge Advantage through online Text Mining Research Trends in Competitive Intelligence and Virtual Communities Applications
133
Real Time Customer Opinion Monitoring
141
Validation Techniques in Text Mining with Application to the Processing of Openended Questions
151
Clickstream Analysis Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internetportal
161
Text Mining in Official Statistics
171
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