Theory and Applications of Natural Language Processing

Text Mining

From Ontology Learning to Automated Text Processing Applications

Editors: Biemann, Chris, Mehler, Alexander (Eds.)

  • A unique contribution to the analysis of big textual data
  • The first book that presents the overarching notion of text mining, ranging from lexical acquisition to NLP applications
  • The book strikes a balance between the overall vision and the general picture and current topics in text mining research
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eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-12655-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-12654-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 11, 2016
  • ISBN 978-3-319-35930-4
  • Free shipping for individuals worldwide
About this book

This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching.

The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.

About the authors

After completing his doctoral dissertation with Gerhard Heyer at the University of Leipzig (Germany), Chris Biemann joined the semantic search startup Powerset (San Francisco) in 2008, which was acquired to become part of Microsoft's Bing in the same year. In 2011, he joined TU Darmstadt (Germany) as an assistant professor (W1) for Language Technology. His interests are situated in statistical semantics, unsupervised and knowledge-free natural language processing and in leveraging the wisdom of the crowds for language data acquisition. Alexander Mehler is professor (W3) for Computational Humanities / Text Technology at the Goethe University Frankfurt am Main, where he heads the Text Technology Lab as part of the Institute of Informatics. His research interests focus on the empirical analysis and simulative synthesis of discourse units in spoken and written communication. He aims at a quantitative theory of networking in linguistic systems to enable multi-agent simulations of their life cycle. Alexander Mehler integrates models of semantic spaces with simulation models of language evolution and topological models of network theory to capture the complexity of linguistic information systems. Currently, he is heading several research projects on the analysis of linguistic networks in historical semantics. Most recently he started a research project on kinetic text-technologies that integrates the paradigm of games with a purpose with the wiki way of collaborative writing and kinetic HCI.

Table of contents (11 chapters)

  • Building Large Resources for Text Mining: The Leipzig Corpora Collection

    Quasthoff, Uwe (et al.)

    Pages 3-24

  • Learning Textologies: Networks of Linked Word Clusters

    Tanev, Hristo

    Pages 25-40

  • Simple, Fast and Accurate Taxonomy Learning

    Kozareva, Zornitsa

    Pages 41-62

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

    Oesterling, Patrick (et al.)

    Pages 63-85

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

    Mehler, Alexander (et al.)

    Pages 87-112

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-12655-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-12654-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 11, 2016
  • ISBN 978-3-319-35930-4
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Text Mining
Book Subtitle
From Ontology Learning to Automated Text Processing Applications
Editors
  • Chris Biemann
  • Alexander Mehler
Series Title
Theory and Applications of Natural Language Processing
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-12655-5
DOI
10.1007/978-3-319-12655-5
Hardcover ISBN
978-3-319-12654-8
Softcover ISBN
978-3-319-35930-4
Series ISSN
2192-032X
Edition Number
1
Number of Pages
X, 238
Number of Illustrations and Tables
27 b/w illustrations, 23 illustrations in colour
Topics