Survey of Text Mining II : Clustering, Classification, and Retrieval
Publication year: 2008
ISBN: 978-1-84800-046-9
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This volume continues to survey the evolving field of text mining - the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.
Subject: Computer Science, Data Structures and Information Theory, Natural Language Processing (NLP), Information Storage and Retrieval, Information Systems Applications (incl. Internet), Multimedia Information Systems, Applications of Mathematics, Anomaly Detection, Augmented Reality, Classification, Document Clustering, Extensible Markup Language (XML), Information Extraction, Information Retrieval, Text Mining, Topic Evolution, algorithms
