Survey Of Text Mining: Clustering Classification & Retrieval at Meripustak

Survey Of Text Mining: Clustering Classification & Retrieval

Books from same Author: Berry M.W.

Books from same Publisher: Springer

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  • General Information  
    Author(s)Berry M.W.
    PublisherSpringer
    Edition2004 ed.
    ISBN9780387955636
    Pages244
    BindingHardback
    LanguageEnglish
    Publish YearSeptember 2003

    Description

    Springer Survey Of Text Mining: Clustering Classification & Retrieval by Berry M.W.

    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 and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.