Text Mining
Predictive Methods for Analyzing Unstructured Information
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ISBN-13:
9780387954332
Veröffentl:
2004
Erscheinungsdatum:
25.10.2004
Seiten:
237
Autor:
Sholom M Weiss
Gewicht:
507 g
Format:
245x161x20 mm
Sprache:
Englisch
Beschreibung:
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 searches for regularities, patterns or trends in natural language text. Inspired by data mining, which discovers major patterns from highly structured databases, text mining aims to extract useful knowledge from unstructured text. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. This authoritative and highly accessible text/reference, written by a team of authorities on text mining, develops the foundation concepts, principles, and methods needed to expand beyond structured, numeric data to automated mining of text samples. Researchers, computer scientists, and advanced undergraduates and graduates with work and interests in data mining, machine learning, databases, and computational linguistics will find the work an essential resource.
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.
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