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Mining Text Data
Buch von Chengxiang Zhai (u. a.)
Sprache: Englisch

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Beschreibung
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned.
Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases.
Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned.
Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases.
Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Zusammenfassung

Covers Text Embedded with Heterogeneous and Multimedia Data

All chapters contain a comprehensive survey including the key research content on the topic, and the future directions of research in the field

This book simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from it

Includes supplementary material: [...]

Inhaltsverzeichnis
An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.
Details
Erscheinungsjahr: 2012
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xii
524 S.
ISBN-13: 9781461432227
ISBN-10: 1461432227
Sprache: Englisch
Herstellernummer: 80029013
Einband: Gebunden
Redaktion: Zhai, Chengxiang
Aggarwal, Charu C.
Herausgeber: Charu C Aggarwal/ChengXiang Zhai
Hersteller: Springer US
Springer New York
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 34 mm
Von/Mit: Chengxiang Zhai (u. a.)
Erscheinungsdatum: 03.02.2012
Gewicht: 0,963 kg
Artikel-ID: 106673779
Zusammenfassung

Covers Text Embedded with Heterogeneous and Multimedia Data

All chapters contain a comprehensive survey including the key research content on the topic, and the future directions of research in the field

This book simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from it

Includes supplementary material: [...]

Inhaltsverzeichnis
An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.
Details
Erscheinungsjahr: 2012
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xii
524 S.
ISBN-13: 9781461432227
ISBN-10: 1461432227
Sprache: Englisch
Herstellernummer: 80029013
Einband: Gebunden
Redaktion: Zhai, Chengxiang
Aggarwal, Charu C.
Herausgeber: Charu C Aggarwal/ChengXiang Zhai
Hersteller: Springer US
Springer New York
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 34 mm
Von/Mit: Chengxiang Zhai (u. a.)
Erscheinungsdatum: 03.02.2012
Gewicht: 0,963 kg
Artikel-ID: 106673779
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