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Computer Science - Artificial Intelligence | Genres on the Web - Computational Models and Empirical Studies

Genres on the Web

Computational Models and Empirical Studies

Mehler, Alexander, Sharoff, Serge, Santini, Marina (Eds.)

2011, XIV, 362 p.

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  • Covers natural language processing and information retrieval research
  • Integrates text-technology, corpus linguistics and machine learning
  • Provides a methodological bridge between many related disciplines in the area of text and language technology
  • Appeals to a broad audience with its coverage of a wide range of research areas, such as computational linguistics, text-technology and data mining
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.

Content Level » Research

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

Related subjects » Artificial Intelligence - Linguistics

Table of contents 

Preface (by James R. Martin) Personal Note List of Contributors Part I Introduction- Riding the Rough Waves of Genre on the Web, Marina Santini, Alexander Mehler, Serge Sharoff.- Part II Identifying the Sources of Web Genres – Conventions and Mutual Expectations, Jussi Karlgren .- Identification of Web Genres by User Warrant, Mark A. Rosso, Stephanie W. Haas .- Problems in the Use-Centered Development of a Taxonomy of Web Genres, Kevin Crowston, Barbara Kwaśnik, Joseph Rubleske .- Part III Automatic Web Genre Identification – Cross-Testing a Genre Classification Model for the Web, Marina Santini .- Formulating Representative Features with Respect to Genre Classification, Yunhyong Kim, Seamus Ross .- In the Garden and in the Jungle, Serge Sharoff .- Web Genre Analysis: Use Cases, Retrieval Models and Implementation Issues, Benno Stein and Sven Meyeer zu Eissen and Nedim Lipka .- Marrying Relevance and Genre Rankings: an Exploratory Study, Pavel Braslavski .- Part IV Structure-Oriented Models of Web Genres – Classification of Web Sites at Super-genre Level, Christoph Lindemann, Lars Littig .- Mining Graph Patterns in Web-based Systems: A Conceptual View, Matthias Dehmer and Frank Emmert-Streib .- Genre Connectivity and Genre Drift in a Web of Genres, Lennart Björneborn .- Part V Case Studies of Web Genres – Genre Emergence in Amateur Flash, John C. Paolillo, Jonathan Warren, Breanne Kunz .- Variation Among Blogs: A Multi-dimensional Analysis, Jack Grieve, Douglas Biber, Eric Friginal, Tatiana Nekrasova .- Evolving Genres in Online Domains: The Hybrid Genre of the Participatory News Article, Ian Bruce .- Prospect – Any Land in Sight? Marina Santini, Serge Sharoff, Alexander Mehler .- Subject Index

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