Predicting Changes in Personality Behavior Under the Influence of an Interlocutor
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Abstract
The study of interactions between users of information systems is an urgent task in humanitarian and technical research. The paper presents the development of a regression model that predicts changes in the severity of the content components of a text under the influence of other people. The data source was short conversations (message triplets) between two users on social networks. The trained model is designed to be used as part of a cognitive architecture that reflects a model of a subject's behavior in a digital environment.
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References
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