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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Методика выявления нарушений в текстах Интернета

С. 115–119.
Михайлов А. С., Соколова Т. В., Chepovskiy A., Chepovskiy A.
Language: Russian
Full text
Keywords: automatic text categorizationspecialized dictionaryавтоматическая рубрикация текстовспециализированный словарь

In book

Труды Международной научной конференции по физико-технической информатике (CPT2014)
М., Протвино: Институт физико-технической информатики, 2015.
Similar publications
Выявление тематической направленности текстов на естественных языках
Михайлов А. С., Соколова Т. В., Chepovskiy A. et al., Искусственный интеллект и принятие решений 2016 № 1 С. 9–17
This paper presents a novel method of text categorization based on the use of specialized dictionaries.The method is applied to texts of mass media and short comments on the Internet. The analysis indicates the effectiveness and efficiency of word stemming for text categorization problem and the validity of the proposed method ...
Added: April 22, 2016
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