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Springer Mining Text Data - Social Networks & Data Mining Book

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Description

Explore the rapid evolution of text mining with Mining Text Data from Springer. As Web 2.0 and social networking applications expand, new hardware and software technologies create unique scenarios for learning text mining algorithms. This edited volume addresses an important niche in the text analytics field by bringing together leading international researchers and practitioners. This book provides a wide range of topics focused on social networks and data mining. Each chapter offers a comprehensive survey of the subject matter, making it a valuable resource for those studying knowledge management and data analytics. Gain insights into how modern technology shapes the way we process and understand text-based information in a social context.

Key Features

This Springer publication focuses on the intersection of social networks and data mining.

The book covers a wide swath of topics within the text analytics field.

Each chapter includes a comprehensive survey of specialized research and practical applications.

The content explores how Web 2.0 and social networking drive advances in text mining.

Contributions come from leading international researchers and practitioners in the field.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 February 2012
Listed Since
22 December 2011

Barcode

No barcode data available

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