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BFI CNN Detector

Product
Developers: Perm State National Research University (PSNRU)
Date of the premiere of the system: 2019/30/10
Technology: Data Mining

2019: Patenting of the program capable to determine the user's psychotype by his comments in social networks

Staff of the Perm State National Research University (PSNRU) patented the computer program which on the basis of texts of comments on social networks makes a psychological and linguistic portrait of users. On October 30, 2019 reported about it in the Ministry of information development and communication of Perm Krai.

Linguists and mathematicians from Perm jointly developed the BFI CNN Detector program by request of the Ministry of Education and Science of the Russian Federation which determines social and behavioural parameters of users of social networks on the basis of texts of their comments. The platform allows to determine psychological parameters of the interlocutor with an accuracy of 70%. The program is patented and registered by Federal Service for Intellectual Property of the Russian Federation.

Though researches of social networks in Russia are conducted long ago, only likes and reposts of users usually are considered. Scientists of PGNIU decided to study that and as people write in comments. They entered 21 thousand texts of users which analyzed on stylistics, genres, informational content – on only more than 150 categories to the database of the developed program.

Besides, such parameters of users as age, sex, quantity of posts and psychological lines which researchers collected using the questionnaire of The Big Five Inventory were entered to the program. On the basis of data retrieveds scientists made psycholinguistic portraits for each user. The program will be suitable for all operating systemsWindows, Linux or Mac OS X.

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During the research we could determine some consistent patterns. For example, in texts of men there are almost no apologies, and at women they is frequency are present. Male users of whom bad faith is characteristic often in the texts use sarcasm and irony. Users who at texts have a sympathy are most often benevolent and conservative, – professor of department of theoretical and applied linguistics of PGNIU Konstantin Belousov noted.
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