Genres on the Web: Computational Models and Empirical Studies
Alexander Mehler · Serge Sharoff · Marina Santini
Oct 2010 · Text, Speech and Language Technology Book 42 · Springer Science & Business Media
Ebook
362
Pages
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About this ebook
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 focused 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 ofa genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.
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