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Mining Text Data

Mining Text Data

Paperback

DatabasesGeneral ComputersNetworking

ISBN10: 148998920X
ISBN13: 9781489989208
Publisher: Springer
Published: Apr 12 2014
Pages: 524
Weight: 1.60
Height: 1.10 Width: 6.00 Depth: 9.00
Language: English

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.

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