Researchers have constructed an algorithm capable of establishing the attitudes of social networking users.
The study was released in IEEE Transactions on Affective Computing on June 2021.
“This paper proposes to use multimodal data collected from Instagram accounts to predict the five basic prototypical needs described in Glasser’s choice theory (i.e., Survival, Power, Freedom, Belonging, and Fun),” the study’s authors state,
“We automate the identification of the unconsciously perceived needs from Instagram profiles by using both visual and textual contents. The proposed approach aggregates the visual and textual features extracted using deep learning and constructs a homogeneous representation for each profile through the proposed Bag-of-Content.”
What the study concludes: “Finally, we perform multi-label classification on the fusion of both modalities. We validate our proposal on a large database, consensually annotated by two expert psychologists, with more than 30,000 images, captions and comments. Experiments show promising accuracy and complementary information between visual and textual cues.”
