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Titlebook: Genres on the Web; Computational Models Alexander Mehler,Serge Sharoff,Marina Santini Book 2011 Springer Science+Business Media B.V. 2011 a

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书目名称Genres on the Web
副标题Computational Models
编辑Alexander Mehler,Serge Sharoff,Marina Santini
视频video
概述The first comprehensive collection in the upcoming, challenging field of natural language processing and information retrieval research.Integrates text-technology, corpus linguistics and machine learn
丛书名称Text, Speech and Language Technology
图书封面Titlebook: Genres on the Web; Computational Models Alexander Mehler,Serge Sharoff,Marina Santini Book 2011 Springer Science+Business Media B.V. 2011 a
描述.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..
出版日期Book 2011
关键词automatic identification; complex network theory; computational linguistics; corpus linguistics; documen
版次1
doihttps://doi.org/10.1007/978-90-481-9178-9
isbn_softcover978-94-007-3372-5
isbn_ebook978-90-481-9178-9Series ISSN 1386-291X Series E-ISSN 2542-9388
issn_series 1386-291X
copyrightSpringer Science+Business Media B.V. 2011
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Web Genre Analysis: Use Cases, Retrieval Models, and Implementation Issuesre” or “Web genre”..This chapter contributes to Web genre analysis. It presents relevant use cases, discusses existing and new technology for the construction of Web genre retrieval models, and outlines implementation aspects for a genre-enabled Web search. Special focus is put on the generalization
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1386-291X grates text-technology, corpus linguistics and machine learn.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 comp
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Marrying Relevance and Genre Rankings: An Exploratory Studycal discriminant analysis applied to a sample of genres with decreasing formality is proposed. Effects of aggregating genre-related and text relevance rankings are considered. Evaluation of the results shows moderate positive effects. Findings suggest that further research is needed on implicit use of genre-related information in Web search.
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Book 2011and 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 linguisti
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https://doi.org/10.1007/978-3-662-25637-4 network positions are strongly associated with the genres of Flash they produce, and that social processes of support and competition are key to understanding genre emergence in the Newgrounds context. We argue from these findings that a social network approach can be crucial to understanding genre emergence.
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