Text Mining

by Weiss, Sholom M.; Indurkhya, Nitin; Zhang, Tong; Damerau, Fred J.

• ISBN13: 9780387954332
• ISBN10: 0387954333
• Format: Hardcover
• Copyright: 2004-10-01
• Publisher: Springer-Verlag New York Inc

Summary

The growth of the web can be seen as an expanding public digital library collection. Online digital information extends far beyond the web and its publicly available information. Huge amounts of information are private and are of interest to local communities, such as the records of customers of a business.This information is overwhelmingly text and has its record-keeping purpose, but an automated analysis might be desirable to find patterns in the stored records. Analogous to this data mining is text mining, which also finds patterns and trends in information samples but which does so with far less structured--though with greater immediate utility for users--ingredients.This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. It introduces the new world of text mining and examines proven methods for various critical text-mining tasks, such as automated document indexing and information retrieval and search. New research areas are explored, such as information extraction and document summarization, that rely on evolving text-mining techniques.

Table of Contents

Overview of text mining

From textual information to numerical vectors

Using text for prediction

Information retrieval and text mining

Finding structure in a document collection

Looking for information in documents

Case studies

Emerging directions

Appendix: software notes

References

Author

Subject Indexes

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