Fundamentals of Predictive Text Mining

• Main Authors: Weiss, Sholom M. (Author), Indurkhya, Nitin (Author), Zhang, Tong (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2015.
• Edition: 2nd ed. 2015.
• Series: Texts in Computer Science,
• Subjects: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Text processing (Computer science).; Application software.; Computer Science.; Data Mining and Knowledge Discovery.; Document Preparation and Text Processing.; Computer Appl. in Administrative Data Processing.; Information Storage and Retrieval.; Database Management.

This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides he...

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
• Data Sources for Prediction: Databases, Hybrid Data and the Web
• Case Studies
• Emerging Directions.