Mining Text Data

Name: Mining Text Data
Brand: Springer-Verlag New York Inc.
SKU: 9781489989208
Price: 1216.93 RON
Availability: InStock

Autor: Charu C. Aggarwal, Chengxiang Zhai

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Editura: Springer-Verlag New York Inc.

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Text mining applications have experienced tremendous advances because of web 2.0 and social networki...

Informații despre carte

Autor

Charu C. Aggarwal, Chengxiang Zhai

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2014

Pagini

524

EAN

9781489989208

ISBN

148998920X

Enbook ID

06841510

Editura

Springer-Verlag New York Inc.

Greutate

800

Dimensiuni

234 x 159 x 33

Descriere completă

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.§

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