Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content (Routledge Communication Series)

Kalev Leetaru

ISBN 10: 0415895146 / ISBN 13: 9780415895149

Edité par Routledge 2012-01-31, 2012

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N° de réf. du vendeur 6666-TNFPD-9780415895149

Détails bibliographiques

Titre : Data Mining Methods for the Content Analyst:...

Éditeur : Routledge 2012-01-31

Date d'édition : 2012

Reliure : Paperback

Etat : New

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Synopsis :

This research reference introduces readers to the data mining technologies available for use in content analysis research. Supporting the increasingly popular trend of employing digital analysis methodologies in the humanities, arts, and social sciences, this work provides crucial answers for researchers who are not familiar with data mining approaches and who do not know what they can do, how they work, or how their strengths and weaknesses match up to the strengths and weaknesses of human coded content analysis data. Offering valuable insights and guidance for using automated analytical techniques in content analysis research, this guide will appeal to both novice and experienced researchers throughout the humanities, arts, and social sciences.

À propos de l?auteur:

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.