Principles for Developing Financial Analysis Services Based on Large Language Models

Student: Botaibekov Asset

Supervisor: Vladimir Krylov

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Year of Graduation: 2024

The modern world generates large volumes of informational data, from which society, in turn, begins to heavily depend on the processing of these volumes of data that are constantly and methodically received from various sources. This paper presents a study of modern technologies and approaches used for the automatic processing of textual information through a pre-trained large language model to understand the sentiment and reactions of the population to the socio-economic situation.

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