Survey of Text Mining I: Clustering, Classification, and Retrieval

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A brief survey of text mining (2005)

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CiteSeerX — A brief survey of text mining

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Survey of Text Mining: Clustering, Classification, and Retrieval

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. Knowledge extraction or creation from text requires systematic, yet reliable processing that can be codified and adapted for changing needs and environments.

Survey of Text Mining is a comprehensive edited survey organized into three parts: Clustering and Classification; Information Extraction and Retrieval; and Trend Detection.

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Many of the chapters stress the practical application of software and algorithms for current and future needs in text mining. This useful survey volume taps the expertise of academicians and industry professionals to recommend practical approaches to purifying, indexing, and mining textual information.

R PROGRAMMING TEXT MINING TUTORIAL

Researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining, who need the latest text-mining methods and algorithms, will find the book an indispensable resource. Convert currency. Add to Basket.

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Survey of Text Mining: Clustering, Classification, and Retrieval

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Delivery in Business Days. COD Available. Description Product Details Overview of Survey of Text Mining: Clustering, Classification, and Retrieval Book This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. Table of Contents,Index,Syllabus,summary and image of Survey of Text Mining: Clustering, Classification, and Retrieval book may be of a different edition or of the same title.