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  1. Machine learning
Anastasia Panfilova
Head of Laboratory

Research directions

Technology of automatic analysis of human communication based on machine learning informed by psycholinguistic models

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As a result of the project, intentional characteristics of the dialogue will be established, as well as emerging assessments and opinions, which will serve to develop ideas about the role of psychological factors in the organization of discourse and to specify the possibilities for determining human speech intentions, as well as objective indicators of intentional content influencing the course of the dialogue of participants in interaction. The use of generative artificial intelligence methods to increase the sample size will expand the possibilities for further research. The created deep learning model for identifying intentions, based on various approaches: transfer learning, large language models, and linguistic markers, will help expand the possibilities for further research to identify psychological personality traits through interview analysis and avoiding the limited properties of text that are currently used everywhere.

Publications and patents

Found 

Lab address

Ярославская ул., 13к1, Москва
Authorization required.