Genres on the Web: Computational Models and Empirical Studies
Genres on the Web: Computational Models and Empirical Studies
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网络流派：计算模型和实证研究
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Marina Santini
中科院分区：
文献类型：
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作者：
Alexander Mehler;S. Sharoff;Marina Santini
《网络上的体裁》一书是为从专家到新手的广大读者而设计的。对于想要了解网络类型研究领域最新理论、实证和计算进展的学者、研究人员和学生来说，这是一本必读的书。网络体裁研究是一个跨学科的研究领域，涵盖语料库语言学、计算语言学、自然语言处理和文本技术，以及网络挖掘、网络计量学、社会网络分析和信息研究。这本书给读者在网络流派和新兴文档类型的最新研究彻底接地。本书涵盖了广泛的网络体裁主题，如：网络体裁来源的识别、网络体裁自动识别、面向结构模型的呈现、实证案例研究等。体裁研究背后的驱动力之一是体裁敏感信息系统的理念，该系统结合了体裁线索，补充了当前基于关键字的搜索和检索应用。
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.