- PII
- S020595920020501-7-
- DOI
- 10.31857/S020595920020501-7
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 43 / Issue 3
- Pages
- 114-121
- 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.
- Keywords
- collective emotions, public opinion, emotives, text mining, text markers of emotionality, causative-emotive analysis
- Date of publication
- 23.06.2022
- Number of purchasers
- 11
- Views
- 346
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