Text Mining Predictive Methods for Analyzing Unstructured Information /

• Main Authors: Weiss, Sholom M. (Author), Indurkhya, Nitin (Author), Zhang, Tong (Author), Damerau, Fred J. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2005.
• Subjects: Computer science.; Computers.; Database management.; Data mining.; Information storage and retrieval.; Text processing (Computer science).; Application software.; Computer Science.; Data Mining and Knowledge Discovery.; Information Systems and Communication Service.; Information Storage and Retrieval.; Document Preparation and Text Processing.; Computer Appl. in Administrative Data Processing.; Database Management.

One consequence of the pervasive use of computers is that most documents originate in digital form. Text mining—the process of searching, retrieving, and analyzing unstructured, natural-language text—is concerned with how to exploit the textual data embedded in these documents. Text Mining presents...

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.