This Second Edition brings readers thoroughly up to date with
the emerging 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. The book explores a broad
range of issues, ranging from the development of new learning
approaches to the parallelization of existing algorithms. Authors
highlight open research questions in document categorization,
clustering, and trend detection. In addition, the book describes
new application problems in areas such as email surveillance and
anomaly detection.
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