Text Mining and its Applications

Results of the NEMIS Launch Conference
1. Auflage. Softcover version of original hardcover Auflage 2004
ISBN: 978-3-642-05780-9
Verlag: Springer

Buch, Englisch, Band 138, 204 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 335 g

Reihe: Studies in Fuzziness and Soft Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Sirmakessis, Spiros

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Business Application Textverarbeitung

Inhaltsverzeichnis

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.