Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content: Routledge Communication
Autor Kalev Hannes Leetaruen Limba Engleză Paperback – dec 2011
Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field.
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Specificații
ISBN-13: 9780415895149
ISBN-10: 0415895146
Pagini: 102
Ilustrații: 6 tables
Dimensiuni: 150 x 224 x 8 mm
Greutate: 0.2 kg
Editura: Routledge
Seria Routledge Communication
ISBN-10: 0415895146
Pagini: 102
Ilustrații: 6 tables
Dimensiuni: 150 x 224 x 8 mm
Greutate: 0.2 kg
Editura: Routledge
Seria Routledge Communication
Cuprins
Introduction Obtaining And Preparing Data Vocabulary Analysis Correlation And Co-Occurrence Lexicons, Entity Extraction, And Geocoding Topic Extraction Sentiment Analysis Similarity, Categorization and Clustering Network Analysis
Notă biografică
Kalev Leetaru is Senior Research Scientist for Content Analysis at the University of Illinois Institute for Computing in Humanities, Arts, and Social Science and Center Affiliate of the National Center for Supercomputing Applications. He leads a number of large initiatives centering on the application of high performance computing to grand challenge problems using massive-scale document and data archives.