Text Mining and its Applications

Results of the NEMIS Launch Conference

Editors:

ISBN: 978-3-642-05780-9 (Print) 978-3-540-45219-5 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages I-X

  2. No Access

    Book Chapter

    Pages 1-6

    Mining for Gems of Information

  3. No Access

    Book Chapter

    Pages 7-24

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

  4. No Access

    Book Chapter

    Pages 25-35

    Web Mining: Past, Present and Future

  5. No Access

    Book Chapter

    Pages 37-51

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

  6. No Access

    Book Chapter

    Pages 53-64

    Text Classification of News Articles with Support Vector Machines

  7. No Access

    Book Chapter

    Pages 65-79

    A Review of Web Document Clustering Approaches

  8. No Access

    Book Chapter

    Pages 81-97

    Supervised Term Weighting for Automated Text Categorization

  9. No Access

    Book Chapter

    Pages 99-118

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

  10. No Access

    Book Chapter

    Pages 119-130

    Processing Multilingual Collections for Text Mining Applications

  11. No Access

    Book Chapter

    Pages 131-149

    Text Mining Tools: Evaluation Methods and Criteria

  12. No Access

    Book Chapter

    Pages 151-157

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

  13. No Access

    Book Chapter

    Pages 159-167

    Real Time Customer Opinion Monitoring

  14. No Access

    Book Chapter

    Pages 169-178

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

  15. No Access

    Book Chapter

    Pages 179-188

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

  16. No Access

    Book Chapter

    Pages 189-204

    Text Mining in Official Statistics

  17. Back Matter

    Pages 204-204