Анализ культурных референций в творчестве А. Вознесенского: цифровое исследование имен персоналий

Цифровые гуманитарные исследования. 2026. № 1. С. 4–26.

Tyuryakova-Matveeva D.

The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their connection to the genre of the work. Voznesensky's key authors (Pasternak, Pushkin, Mayakovsky) were identified, and genre features were revealed (the predominance of politicians in prose and classical poets in verse). A network analysis of the poet's environment was conducted. The patterns identified show the dynamics of changes in the author's interests and his social environment over the decades. The novelty of the study lies in the use of digital methods to study the names of personalities in A. Voznesensky's work on the scale of his entire body of work. This is the first time such a detailed quantitative analysis has been conducted, allowing not only to systematize known facts, but also to identify non-obvious patterns that are inaccessible to traditional analysis, thereby deepening the understanding of the author's creative personality.

Keywords: сетевой анализ, анализ текста, text analysis, network analysis, именованные сущности, LLM, digital humanities projects, цифровые гуманитарные проекты, Андрей Андреевич Вознесенский, LLM, Named Entity Recognition (NER), cultural references, Andrey Voznesensky, культурные референции