Genres on the Web Computational Models and Empirical Studies [Hardcover]

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 of a genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.

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 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 oflÃF