Survey of Text Mining : Clustering, Classification, and Retrieval (2003. 270 p. w. 57 figs.)

Recommends practical approaches to the purification, indexing, and mining of textual information. This book addresses document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.