Survey of Text Mining Clustering, Classification, and Retrieval

ISBN-10: 0387955631
ISBN-13: 9780387955636
Authors: Michael W. Berry
List price: $109.99

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Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia…    

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Binding: Hardcover Publisher: Springer New York Number of pages: 244 Dimensions: 6.10" wide x 9.25" long x 0.75" tall Weight: 1.276 lbs. Language: English