Causative-Emotive Analysis. Part I. Emotional Reactions of Social Networks Users Research

Authors

Grigoriev O. Smirnoff I. Nikitina E. Chudova N. Kuznetsova Y.

Annotation

The paper deals with the problem of causal attribution of emotions in social networks texts. For the solution, it is proposed to use artificial intelligence methods for large text corpora mining. The presented method of causative-emotive analysis is based on the TITANIS — an automatic text analysis tool created at the Federal Research Center Computer Science and Control of the Russian Academy of Sciences (FRC CSC RAS). The features of the proposed method and its linguistic bases (verbal emotive constructions) are described, and some limitations for psychological research of collective emotions are indicated.

External links

DOI: 10.31857/S020595920020501-7

At the Psychological Journal website: https://psy.jes.su/s020595920020501-7-1/

eLibrary: https://www.elibrary.ru/item.asp?id=48683864

ResearchGate: https://www.researchgate.net/publication/361528407_Causative-Emotive_Analysis_Part_I_Emotional_Reactions_of_Social_Networks_Users_Research

Reference link

O. G. Grigoriev, Yu. M. Kuznetsova, E.N. Nikitina, I. V. Smirnov, N. V. Chudova. Causative-Emotive Analysis. Part I. Emotional Reactions of Social Networks Users Research // Psychological Journal, 2022. Issue 43. № 3. Pp. 114-121.