Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Text Mining and its Applications

Results of the NEMIS Launch Conference

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Spiros Sirmakessis

    1. Computer Technology Institute, Research Academic, Patras, Greece

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Results of the 1st international workshop on text mining and its applications covering important new ideas on internet development
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 138)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Mining for Gems of Information

    • Spiros Sirmakessis
    Pages 1-6

  3. From Text to Knowledge: Document Processing and Visualization: a Text Mining Approach

    • Martin Rajman, Martin Vesely
    Pages 7-24

  4. Web Mining: Past, Present and Future

    • Konstantinos Markellos, Penelope Markellou, Maria Rigou, Spiros Sirmakessis
    Pages 25-35

  5. Applications, Sectors and Strategies of Text Mining, a First Overall Picture

    • Sergio Bolasco, Francesco Baiocchi, Alessio Canzonetti, Francesca Della Ratta, Ana Feldman
    Pages 37-51

  6. Text Classification of News Articles with Support Vector Machines

    • Gerhard Paaß, Jörg Kindermann, Edda Leopold
    Pages 53-64

  7. A Review of Web Document Clustering Approaches

    • N. Oikonomakou, M. Vazirgiannis
    Pages 65-79

  8. Supervised Term Weighting for Automated Text Categorization

    • Franca Debole, Fabrizio Sebastiani
    Pages 81-97

  9. Machine Learning for Information Extraction in Genomics — State of the Art and Perspectives

    • C. Nédellec
    Pages 99-118

  10. Processing Multilingual Collections for Text Mining Applications

    • Eric Gaussier
    Pages 119-130

  11. Text Mining Tools: Evaluation Methods and Criteria

    • Antonis Spinakis, Paraskevi Peristera
    Pages 131-149

  12. Knowledge Advantage through online Text Mining. Research Trends in Competitive Intelligence and Virtual Communities Applications

    • Alessandro Zanasi
    Pages 151-157

  13. Real Time Customer Opinion Monitoring

    • Luca Dini, Giampaolo Mazzini
    Pages 159-167

  14. Validation Techniques in Text Mining (with Application to the Processing of Open-ended Questions)

    • Ludovic Lebart
    Pages 169-178

  15. Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal

    • Furio Camillo
    Pages 179-188

  16. Text Mining in Official Statistics

    • Mónica Becue, Bert Fridlund, Alf Fyhrlund, Albert Prat, Bo Sundgren
    Pages 189-204

  17. Back Matter

    Pages 204-204
    Download chapter PDF
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Computer Technology Institute, Research Academic, Patras, Greece

    Spiros Sirmakessis

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation