ENGLISH

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

By Michael W. Berry

Book information

Publisher
Springer
Year
2003
ISBN
9780387955636, 0-387-95563-1
LCC
QA76.9.D343 S69 2004
Open Library ID
OL22556951M
Language
english
Format
PDF
Filesize
6 MB (5974232 bytes)
Volume
vol 1
Edition
1
Pages
261\261
Library
torrents.ru tech collections 2009-11-14
Time added
2010-01-11 02:35:34

Description

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.

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