In this article we present a model of human written text based on statistical mechanics consideration. The empirical derivation of the potential energy for the parts of the text and the calculation of the thermodynamic parameters of the system, show that the "specific heat" corresponds to the semantic classification of the words in the text, separating keywords, function words and common words. This can give advantages when the model is used in text searching mechanisms. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Koroutchev, K., Korutcheva, E., & Shen, J. (2009). Written texts as statistical mechanical problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5766 LNCS, pp. 241–248). https://doi.org/10.1007/978-3-642-04417-5_22
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