Identification of information tonality based on Bayesian approach and neural networks

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dc.creatorLande, D. V.
dc.date2008-06-17
dc.date.accessioned2026-07-07T12:19:34Z
dc.date.available2026-07-07T12:19:34Z
dc.descriptionA model of the identification of information tonality, based on Bayesian approach and neural networks was described. In the context of this paper tonality means positive or negative tone of both the whole information and its parts which are related to particular concepts. The method, its application is presented in the paper, is based on statistic regularities connected with the presence of definite lexemes in the texts. A distinctive feature of the method is its simplicity and versatility. At present ideologically similar approaches are widely used to control spam.
dc.description5 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0806.2738
dc.identifierhttp://arxiv.org/abs/0806.2738
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212797
dc.subjectInformation Theory
dc.titleIdentification of information tonality based on Bayesian approach and neural networks
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