Genres on the Web

Computational Models and Empirical Studies

  • Alexander Mehler
  • Serge Sharoff
  • Marina Santini

Part of the Text, Speech and Language Technology book series (TLTB, volume 42)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Marina Santini, Alexander Mehler, Serge Sharoff
      Pages 3-30
  3. Identifying the Sources of Web Genres

    1. Front Matter
      Pages 31-31
    2. Jussi Karlgren
      Pages 33-46
    3. Mark A. Rosso, Stephanie W. Haas
      Pages 47-67
    4. Kevin Crowston, Barbara Kwaśnik, Joseph Rubleske
      Pages 69-84
  4. Automatic Web Genre Identification

    1. Front Matter
      Pages 85-85
    2. Serge Sharoff
      Pages 149-166
    3. Benno Stein, Sven Meyer zu Eissen, Nedim Lipka
      Pages 167-189
  5. Structure-Oriented Models of Web Genres

    1. Front Matter
      Pages 209-209
    2. Christoph Lindemann, Lars Littig
      Pages 211-235
    3. Matthias Dehmer, Frank Emmert-Streib
      Pages 237-253
    4. Lennart Björneborn
      Pages 255-274
  6. Case Studies of Web Genres

    1. Front Matter
      Pages 275-275
    2. John C. Paolillo, Jonathan Warren, Breanne Kunz
      Pages 277-302
    3. Jack Grieve, Douglas Biber, Eric Friginal, Tatiana Nekrasova
      Pages 303-322

About this book

Introduction

The volume “Genres on the Web” has been designed for a wide audience, from the expert to the novice. It is a required book for scholars, researchers and students who want to become acquainted with the latest theoretical, empirical and computational advances in the expanding field of web genre research. The study of web genre is an overarching and interdisciplinary novel area of research that spans from corpus linguistics, computational linguistics, NLP, and text-technology, to web mining, webometrics, social network analysis and information studies. This book gives readers a thorough grounding in the latest research on web genres and emerging document types. The book covers a wide range of web-genre focussed subjects, such as: • The identification of the sources of web genres • Automatic web genre identification • The presentation of structure-oriented models • Empirical case studies One of the driving forces behind genre research is the idea of a genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.

Keywords

automatic identification complex network theory computational linguistics corpus linguistics document types natural language processing social software text-technology usage mining web content web genres web genres and document types

Editors and affiliations

  • Alexander Mehler
    • 1
  • Serge Sharoff
    • 2
  • Marina Santini
    • 3
  1. 1., Text Technology/Applied Comp. Ling.Bielefeld UniversityBielefeldGermany
  2. 2.LS2 9JT LeedsUnited Kingdom
  3. 3.StockholmSweden

Bibliographic information

  • DOI https://doi.org/10.1007/978-90-481-9178-9
  • Copyright Information Springer Science+Business Media B.V. 2011
  • Publisher Name Springer, Dordrecht
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-90-481-9177-2
  • Online ISBN 978-90-481-9178-9
  • Series Print ISSN 1386-291X
  • About this book