01828nas a2200217   4500008004100000245006600041210006500107260003000172520114800202653003001350653002301380653001801403653001701421653001401438100002201452700001901474700002001493700001501513700001901528856006301547       2011                        eng d00aGenres on the Web: Computational Models and Empirical Studies0 aGenres on the Web Computational Models and Empirical Studies  aDordrechtbSpringerc20113 a<p>The volume &ldquo;Genres on the Web&rdquo; 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: &bull; The identification of the sources of web genres &bull; Automatic web genre identification &bull; The presentation of structure-oriented models &bull; 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.</p>
10acomputational linguistics10acorpus linguistics10adocument type10agenre theory10aweb genre1 aMehler, Alexander1 aSharoff, Serge1 aSantini, Marina1 aIde, Nancy1 aVéronis, Jean  uhttp://www.springer.com/computer/ai/book/978-90-481-9177-2