1 May 2008 Data modeling enabled dynamical analysis for blogger state-of-mind modeling and prediction
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Abstract
We present a novel mathematical framework for Data Mining blogger text entries and converting latent conceptual information into analytical predictive equations. These differential equations are conceptual models of the blogger's topic and state-of-mind transition dynamics. The mathematical framework is explored for its value in characterization of topic content and topic tracking as well as identification and prediction of topic dynamic changes.
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Holger M. Jaenisch, Holger M. Jaenisch, Michael J. Coombs, Michael J. Coombs, James W. Handley, James W. Handley, Nathaniel G. Albritton, Nathaniel G. Albritton, Matthew E. Edwards, Matthew E. Edwards, } "Data modeling enabled dynamical analysis for blogger state-of-mind modeling and prediction", Proc. SPIE 6964, Evolutionary and Bio-Inspired Computation: Theory and Applications II, 69640A (1 May 2008); doi: 10.1117/12.775565; https://doi.org/10.1117/12.775565
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