Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Full-scale Personality Prediction on VKontakte Social Network and its Applications. / Titov, Sergey; Novikov, Pavel; Mararitsa, Larisa.
Proceedings of the 25th Conference of Open Innovations Association FRUCT, FRUCT 2019. ред. / Valtteri Niemi; Tatiana Tyutina. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 317-323 8981513 (Conference of Open Innovation Association, FRUCT).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Full-scale Personality Prediction on VKontakte Social Network and its Applications
AU - Titov, Sergey
AU - Novikov, Pavel
AU - Mararitsa, Larisa
N1 - Publisher Copyright: © 2019 FRUCT.
PY - 2019/11
Y1 - 2019/11
N2 - In this work, we present our prediction results for 17 psychological scales based on online data from the Russian social network VKontakte. As part of this project, we predicted a variety of psychological traits, starting with personality traits from the OCEAN inventory and ending with Raven's Matrices. We then introduced 2 models based on the source of digital data: the first consisting of semi-structured social profiles and the second of public page subscriptions. These models cover most public non-textual data on VKontakte. Lastly, we applied this model to real data with a view to construct psychographics for the audiences of different brands.
AB - In this work, we present our prediction results for 17 psychological scales based on online data from the Russian social network VKontakte. As part of this project, we predicted a variety of psychological traits, starting with personality traits from the OCEAN inventory and ending with Raven's Matrices. We then introduced 2 models based on the source of digital data: the first consisting of semi-structured social profiles and the second of public page subscriptions. These models cover most public non-textual data on VKontakte. Lastly, we applied this model to real data with a view to construct psychographics for the audiences of different brands.
UR - http://www.scopus.com/inward/record.url?scp=85080864131&partnerID=8YFLogxK
U2 - 10.23919/FRUCT48121.2019.8981513
DO - 10.23919/FRUCT48121.2019.8981513
M3 - Conference contribution
AN - SCOPUS:85080864131
T3 - Conference of Open Innovation Association, FRUCT
SP - 317
EP - 323
BT - Proceedings of the 25th Conference of Open Innovations Association FRUCT, FRUCT 2019
A2 - Niemi, Valtteri
A2 - Tyutina, Tatiana
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th Conference of Open Innovations Association FRUCT, FRUCT 2019
Y2 - 5 November 2019 through 8 November 2019
ER -
ID: 97770135