1) Senior Lecturer at the Department Linguistics and Professional Communication in Law, Moscow State Linguistic University, Russia, Moscow, yanaimber@yandex.ru 2) PhD of Philology, Associate Professor, Head of the Gender Laboratory of the Center for Socio-Cognitive Discourse Studies, Associate Professor at the Department of Linguistics and Professional Communication in Law, Moscow State Linguistic University, Russia, Moscow, ma-ria.tomskaya@mail.ru
The paper deals with the advantages and disadvantages of neural networks, in par-ticular the GPT-4 language model, as an analysis tool of emotivity in linguistic re-search based on posts on social networks. The authors attempt to determine the abil-ity of GPT-4 to recognize the emotiveness of text and the emotional state of its au-thor. The researchers conclude that the use of language models as the primary meth-od of analysis in linguistic studies should be limited; however, they may be em-ployed as an auxiliary tool, for instance, for the analysis of large text data, for pre-liminary text analysis, and for specific linguistic phenomena with clearly formulated prompts, as well as for verifying their hypotheses.
emotivity; emotionality; the language model GPT-4; аrtificial intelligence.
Download textFor citing: Imber S.Yu., Tomskaya M.V. (2025) Potentialof the GPT-4 language model for linguistic research (based on the analysis of emotivity). Human being: Image and essence. Humanitarian aspects. Moscow. INION RAN.Vol. 2 (62). pp. 187-202. DOI: 10.31249/chel/2025.02.11