Open AccessMBTI TYPE PREDICTION USING IMAGES FROM INSTAGRAM
Author(s) -
Dinara Mussayeva,
A. Kuandykova,
Assem Talasbek,
Kamila Orynbekova,
Darmen Kariboz
Publication year - 2021
Publication title -
ķazaķstan-britan tehnikalyķ universitetìnìņ habaršysy
Language(s) - English
Resource type - Journals
eISSN - 2959-8109
pISSN - 1998-6688
DOI - 10.55452/1998-6688-2021-18-3-42-45
Subject(s) - upload , personality , computer science , image (mathematics) , personality type , test (biology) , artificial intelligence , type (biology) , applied psychology , psychology , computer vision , social psychology , world wide web , paleontology , biology , ecology
This article describes image based personality type prediction. With the help of the Instagram API, photos of respondents who previously passed the MBTI test were collected. As a result, 60 percent of accuracy was achieved. This work represents one of the solutions to determine what personality type a person belongs to without passing any tests, but simply uploading an image.