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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Using Intelligent Text Analysis of Online Reviews to Determine the Main Factors of Restaurant Value Propositions

Ch. 57. P. 1101–1118.
Elizaveta Fainshtein, Serova E.

This chapter discusses the sentiment classification of text messages containing customer reviews of an
online restaurant service system using machine-learning methods, in particular text mining and multivariate
text sentiment analysis. The study determines the structure of value proposition factors based
on online restaurant reviews on TripAdvisor, collecting information on consumer preferences and the
restaurant services in St. Petersburg (Russia) quality assessment and examines the influence of service
format and reviews tonality on ratings restaurants factors. The service format context is proposed as the
main attribute influencing the formation of the restaurant business value proposition and of relevance
for online reviews. The results showed the key factors in the study of the sentiment were cuisine and
dishes, reviews and ratings, and targeted search. MANOVA analysis represented that for special offers
and features, reviews and ratings, factors and quantitative star ratings influenced the negative and positive
sentiment of online reviews significantly.

Language: English
Full text
DOI
Text on another site
Keywords: customer satisfactiononline reviewsIntelligent Text AnalysisValue Propositions

In book

Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
IGI Global, 2022.
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