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Genre is a complex but intuitively understood concept. Home pages, FAQs, blogs, etc. are examples of genres currently thriving on the web. Automatically identifying web genres would help us find documents that are more relevant to our information needs. The aim of the research described in this book is to develop automatic genre classification algorithms. There are several challenges, however, that affect the modelling of these algorithms. First, genres on the web are instantiated in web pages, which can be considered documents of a new type, much more unpredictable and individualised than documents on paper. Second, the web is unstable and fluid, undergoing a fast-paced evolution, so genre identification is influenced by phenomena such as the formation of novel genres, genre hybridism, individualisation, intra-genre and inter-genre variation. Finally, the automatically extractable genre-revealing features used up to now are not adequate to define existing and novel web genres. The author argues that automatic identification of genre in web pages needs more flexible genre classification schemes. The main body of the book describes experiments that support this claim.
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Über die Autorin bzw. den Autor
Marina Santini is a computational linguist working with web genres, text and genre classification, content discovery, topic detection, text analytics, search engines, emotion mining, web development and social media. This book is the published version of her doctoral thesis submitted at University of Brighton (UK).
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Automatic Identification of Genre in Web Pages
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LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847306871
ISBN 13: 9783847306870
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Genre is a complex but intuitively understood concept. Home pages, FAQs, blogs, etc. are examples of genres currently thriving on the web. Automatically identifying web genres would help us find documents that are more relevant to our information needs. The aim of the research described in this book is to develop automatic genre classification algorithms. There are several challenges, however, that affect the modelling of these algorithms. First, genres on the web are instantiated in web pages, which can be considered documents of a new type, much more unpredictable and individualised than documents on paper. Second, the web is unstable and fluid, undergoing a fast-paced evolution, so genre identification is influenced by phenomena such as the formation of novel genres, genre hybridism, individualisation, intra-genre and inter-genre variation. Finally, the automatically extractable genre-revealing features used up to now are not adequate to define existing and novel web genres. The author argues that automatic identification of genre in web pages needs more flexible genre classification schemes. The main body of the book describes experiments that support this claim. 332 pp. Englisch. Bestandsnummer des Verkäufers 9783847306870
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Santini MarinaMarina Santini is a computational linguist working with web genres, text and genre classification, content discovery, topic detection, text analytics, search engines, emotion mining, web development and social media. Th. Bestandsnummer des Verkäufers 5508935
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Automatic Identification of Genre in Web Pages | A new perspective
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847306871
ISBN 13: 9783847306870
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Taschenbuch. Zustand: Neu. Automatic Identification of Genre in Web Pages | A new perspective | Marina Santini | Taschenbuch | 332 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847306870 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106684591
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Automatic Identification of Genre in Web Pages
Verlag:
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847306871
ISBN 13: 9783847306870
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Genre is a complex but intuitively understood concept. Home pages, FAQs, blogs, etc. are examples of genres currently thriving on the web. Automatically identifying web genres would help us find documents that are more relevant to our information needs. The aim of the research described in this book is to develop automatic genre classification algorithms. There are several challenges, however, that affect the modelling of these algorithms. First, genres on the web are instantiated in web pages, which can be considered documents of a new type, much more unpredictable and individualised than documents on paper. Second, the web is unstable and fluid, undergoing a fast-paced evolution, so genre identification is influenced by phenomena such as the formation of novel genres, genre hybridism, individualisation, intra-genre and inter-genre variation. Finally, the automatically extractable genre-revealing features used up to now are not adequate to define existing and novel web genres. The author argues that automatic identification of genre in web pages needs more flexible genre classification schemes. The main body of the book describes experiments that support this claim.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 332 pp. Englisch. Bestandsnummer des Verkäufers 9783847306870
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Automatic Identification of Genre in Web Pages : A new perspective
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847306871
ISBN 13: 9783847306870
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Genre is a complex but intuitively understood concept. Home pages, FAQs, blogs, etc. are examples of genres currently thriving on the web. Automatically identifying web genres would help us find documents that are more relevant to our information needs. The aim of the research described in this book is to develop automatic genre classification algorithms. There are several challenges, however, that affect the modelling of these algorithms. First, genres on the web are instantiated in web pages, which can be considered documents of a new type, much more unpredictable and individualised than documents on paper. Second, the web is unstable and fluid, undergoing a fast-paced evolution, so genre identification is influenced by phenomena such as the formation of novel genres, genre hybridism, individualisation, intra-genre and inter-genre variation. Finally, the automatically extractable genre-revealing features used up to now are not adequate to define existing and novel web genres. The author argues that automatic identification of genre in web pages needs more flexible genre classification schemes. The main body of the book describes experiments that support this claim. Bestandsnummer des Verkäufers 9783847306870
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