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  • ВИЗУАЛИЗАЦИЯ ДАННЫХ В ЭМОЦИОНАЛЬНОМ АНАЛИЗЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ТЕКСТОВ НА ОСНОВЕ МОДЕЛИ "КУБ ЛЁВХЕЙМА"
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Subject
News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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?

ВИЗУАЛИЗАЦИЯ ДАННЫХ В ЭМОЦИОНАЛЬНОМ АНАЛИЗЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ТЕКСТОВ НА ОСНОВЕ МОДЕЛИ "КУБ ЛЁВХЕЙМА"

С. 167–181.
Kolmogorova A., Калинин А. А.

In the paper, we discuss the problem of tools supposed to be effective for visualization of data achieved as result of running algorithms for emotional text analysis. We start by overviewing some technics used to visualize data in projects devoted to exploratory data analysis, sentiment-analysis and emotional text analysis. To continue, we suggest two variants of visualization for emotional representation in texts analyzed within the framework of the theoretical approach known as “Levheim's Cube”, in which emotion is represented as a combination of three neurotransmitters. Such a model makes it possible to operate with spatial coordinates for visualization, but, at the same time, it inevitably imposes a number of restrictions and difficulties.

Language: Russian
DOI
Keywords: sentiment analysisавтоматическая обработка текстабазовые эмоциисентимент-анализbasic emotionsNatural Language Processing (NLP)

In book

Язык и искусственный интеллект: Сборник статей по итогам конференции «Лингвистический форум 2020: Язык и искусственный интеллект»
Издательский дом ЯСК, 2023.
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