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Text, Speech and Language Technology #42: Genres on the Web: Computational Models and Empirical Studiesby Alexander (edt) Mehler
Synopses & Reviews
The description, automatic identification and further processing of web genres is a novel field of research in computational linguistics, NLP and related areas such as text-technology, digital humanities and web mining. One of the driving forces behind this research is the idea of genre-enabled search engines which enable users to additionally specify web genres that the documents to be retrieved should comply with (e.g., personal homepage, weblog, scientific article etc.). This book offers a thorough foundation of this upcoming field of research on web genres and document types in web-based social networking. It provides theoretical foundations of web genres, presents corpus linguistic approaches to their analysis and computational models for their classification. This includes research in the areas of web genre identification, web genre modelling and related fields such as genres and registers in web based communication social software-based document networks web genre ontologies and classification schemes text-technological models of web genres web content, structure and usage mining web genre classification web as corpus. The book addresses researchers who want to become acquainted with theoretical developments, computational models and their empirical evaluation in this field of research. It also addresses researchers who are interested in standards for the creation of corpora of web documents. Thus, the book concerns readers from many disciplines such as corpus linguistics, computational linguistics, text-technology and computer science.
This book presents the latest research on web genres and emerging document types. It covers a wide range of web-genre focused subjects, such as: the identification of the sources of web genres, automatic web genre identification and structure-oriented models.
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.
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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