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

 
PIIS020595920020501-7-1
DOI10.31857/S020595920020501-7
Publication type Article
Status Published
Authors
Occupation: head of the division “Artificial intelligence and decision making”
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Journal namePsikhologicheskii zhurnal
EditionVolume 43 Issue 3
Pages114-121
Abstract

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.

Keywordscollective emotions, public opinion, emotives, text mining, text markers of emotionality, causative-emotive analysis
AcknowledgmentThe study was supported partly by the Russian Foundation for Basic Research (RFBR) grant № 21-011-31638.
Publication date23.06.2022
Number of characters21530
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