Text Mining

From Ontology Learning to Automated Text Processing Applications

Editors:

ISBN: 978-3-319-12654-8 (Print) 978-3-319-12655-5 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages i-x

  2. Text Mining Techniques and Methodologies

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-24

      Building Large Resources for Text Mining: The Leipzig Corpora Collection

    3. No Access

      Chapter

      Pages 25-40

      Learning Textologies: Networks of Linked Word Clusters

    4. No Access

      Chapter

      Pages 41-62

      Simple, Fast and Accurate Taxonomy Learning

    5. No Access

      Chapter

      Pages 63-85

      A Topology-Based Approach to Visualize the Thematic Composition of Document Collections

    6. No Access

      Chapter

      Pages 87-112

      Towards a Network Model of the Coreness of Texts: An Experiment in Classifying Latin Texts Using the TTLab Latin Tagger

  3. Text Mining Applications

    1. Front Matter

      Pages 113-113

    2. No Access

      Chapter

      Pages 115-136

      A Structuralist Approach for Personal Knowledge Exploration Systems on Mobile Devices

    3. No Access

      Chapter

      Pages 137-156

      Natural Language Processing Supporting Interoperability in Healthcare

    4. No Access

      Chapter

      Pages 157-175

      Deception Detection Within and Across Cultures

    5. No Access

      Chapter

      Pages 177-199

      Sentiment Analysis: What’s Your Opinion?

    6. No Access

      Chapter

      Pages 201-219

      Multi-perspective Event Detection in Texts Documenting the 1944 Battle of Arnhem

    7. No Access

      Chapter

      Pages 221-238

      Towards a Historical Text Re-use Detection