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Proceedings Paper

Formal analytical modeling of blog content as personal narrative
Author(s): Michael J. Coombs; Holger M. Jaenisch; James W. Handley
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Paper Abstract

This paper contrasts two techniques for analyzing blog content and making use of this information to model blog content. One method uses classical text content and analysis presented for human interpretation. The second method relies on a data mined list of descriptive words characterizing the blogs. We examine the use of different data mining tools, Kryltech's "Subject Search Summarizer", Leximancer, and QUEST, to provide orthogonal and independently generated key word lists. These lists are then converted into Data Models, enabling mathematical modeling of blog content.

Paper Details

Date Published: 11 April 2008
PDF: 10 pages
Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650D (11 April 2008); doi: 10.1117/12.775563
Show Author Affiliations
Michael J. Coombs, Diplomacy Media Research (United States)
Holger M. Jaenisch, Alabama A&M Univ. (United States)
Licht Strahl Engineering Inc. (United States)
James W. Handley, Licht Strahl Engineering Inc. (United States)

Published in SPIE Proceedings Vol. 6965:
Modeling and Simulation for Military Operations III
Dawn A. Trevisani, Editor(s)

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