Text Mining and its Applications: Results of the NEMIS Launch Conference / Edition 1

by Spiros Sirmakessis

Overview

The world of text mining is simultaneously a minefield and a gold mine. It is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, case­ based reasoning, statistics and knowledge management) in an effort to help people gain insight, understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years, many issues remain umesolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identified, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the field of Text Mining -especially in relation to IT- and whether there still remain areas to be covered.

Product Details

ISBN-13:	9783540202387
Publisher:	Springer Berlin Heidelberg
Publication date:	02/20/2004
Series:	Studies in Fuzziness and Soft Computing , #138
Edition description:	2004
Pages:	204
Product dimensions:	6.14(w) x 9.21(h) x 0.02(d)

Table of Contents

Mining for Gems of Information.- From Text to Information: Document Processing and Visualization, a Text Mining Approach.- Web Mining: The Past, the Present, and Future.- Applications, Sectors and Strategies of Text Mining, a First Overall Picture.- Text Classification of News Articles with Support Vector Machines.- A Review of Web Document Clustering Approaches.- Supervised Term Weighting for Automated Text Categorization.- Machine Learning for Information Extraction in Genomics — State of the Art and Perspectives.- Processing Multilingual Collection for Text Mining Applications.- Text Mining Tools: Evaluation Methods and Criteria.- Knowledge Advantage through online Text Mining. Research Trends in Competitive Intelligence and Virtual Communities Applications.- Real Time Customer Opinion Monitoring.- Validation Techniques in Text Mining (with Application to the Processing of Open-ended Questions).- Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal.- Text Mining in Official Statistic.