Formal analytical modeling of blog content as personal narrative

Michael J. Coombs; Holger M. Jaenisch; James W. Handley

doi:10.1117/12.775563

11 April 2008 Formal analytical modeling of blog content as personal narrative

Michael J. Coombs; Holger M. Jaenisch; James W. Handley;

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Proceedings Volume 6965, Modeling and Simulation for Military Operations III; 69650D (2008) https://doi.org/10.1117/12.775563
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

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Michael J. Coombs, Holger M. Jaenisch, James W. Handley, "Formal analytical modeling of blog content as personal narrative", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650D (11 April 2008); doi: 10.1117/12.775563; https://doi.org/10.1117/12.775563

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