Welcome to IOU Digital Library

This edited volume provides a broad overview of text-mining techniques including clustering, classification, and retrieval of textual data. It gathers contributions on statistical and algorithmic methods for processing large text corpora — covering methods like document clustering, supervised classification, vector-space models, dimensionality reduction, and information retrieval — aimed at researchers and practitioners interested in machine learning and automated text analysis.

no reviews

245: $a: Survey of Text Mining: Clustering, Classification, and Retrieval
245: $b:
082: $a:
100: $a: Michael W. Berry (ed.)
650: $a: Information retrieval
250: $a:
440: $v:
250: $b: Springer-Verlag New York
250: $c: 2003
020: $a: 978-0-387-95563-0
300: $a: 418