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portada mining text data
Type
Physical Book
Illustrated by
Publisher
Author
Language
English
Pages
524
Format
Hardcover
Dimensions
23.6 x 15.7 x 3.6 cm
Weight
0.86 kg.
ISBN
1461432227
ISBN13
9781461432227
Categories

mining text data

Charu C. Aggarwal (Illustrated by) · Chengxiang Zhai (Illustrated by) · Springer · Hardcover

mining text data - Aggarwal, Charu C. ; Zhai, Chengxiang

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Synopsis "mining text data"

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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