Written Texts as Statistical Mechanical Problem

Authors:
Kostadin Koroutchev;Elka Korutcheva;Jian Shen
Affiliations:
EPS, Universidad Autónoma de Madrid, Spain;Depto. de Física Fundamental, UNED, Spain;EPS, Universidad Autónoma de Madrid, Spain
Venue:
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Year:
2009

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Modern Information Retrieval

Modern Information Retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness

ACM Transactions on Information Systems (TOIS)
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)

TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)

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Abstract

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.