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Measuring Topic Quality in Latent Dirichlet Allocation
P. 149–157.
Topic modeling is an important direction of study for modern text mining; unsupervised mining of collections of topics is intended to produce understanding and capture the essence of issues a dataset is devoted to. However, existing techniques of topic evaluation in topic models such as latent Dirichlet allocation (LDA) are still lacking in their ability to represent human interpretability and worth for qualitative studies. In this work, we propose a novel topic quality metric that more closely corresponds to human judgement than existing ones. We support this claim with the results of an experimental study where test subjects rate LDA topics on how interpretable they are.
Publication based on the results of:
In book
St. Petersburg: The Euler International Mathematical Institute, 2014.
Соколова Е. Н., Grigoreva M., Знак: проблемное поле медиаобразования 2026 № 1(59) С. 92–101
The article analyzes representations of grandmothers’ and grandfathers’ images in the digital family discourse of the Russian social media segment. Based on a corpus of more than two million public posts from September 2023 to September 2024 collected via Brand Analytics, we extracted a subcorpus of 82 138 posts mentioning the older generation. The study ...
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As small and medium-sized enterprises (SMEs) strive for expansion beyond their domestic borders, the appeal of international markets is undoubtedly attractive. However, there are often numerous obstacles to this journey, which can be complex for companies without experience in international expansion. This article aims to fill the existing gap in the literature by thoroughly analyzing ...
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Smirnov N., Higher Education 2026 Vol. 91 No. 3 P. 993–1021
Doctoral education has undergone significant transformations over the past two decades, driven by massification, internationalization, and the diversification of training models. These shifts have led to a growing body of research on doctoral education, yet little is known about the overarching thematic and geographical trends shaping this field. This study applies computational natural language processing ...
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Volkova N., Бордунос А. К., Чикер В. А. et al., Социальная психология и общество 2025 Т. 16 № 1 С. 5–27
Objective. Identify key topics presented in contemporary research on the relationship between social capital and generational differences in organizations, utilizing digital processing approaches on a dataset of scientific publications.
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Added: May 5, 2025
Егоров В. Ю., Philippov I., Akhremenko A. S., Мониторинг общественного мнения: Экономические и социальные перемены 2025 № 1 С. 214–239
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Vozhik E., Maslinsky K., Lisiukov R., CEUR Workshop Proceedings 2024 P. 938–949
The article focuses on the systemic effects of censorship that manifest themselves in the content of published materials that successfully passed the censorship filters. We understand censorship as a special kind of collective imagination about the (in)acceptable, inherent in a particular political context and influencing the decision-making logic by different actors. The idea is that ...
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Gorshkov S., Ilyushin E., Chernysheva A. et al., International Journal of Open Information Technologies 2021 Vol. 9 No. 5 P. 12–17
Topic modeling is one of the most widely used methods in text analysis. It can be used to select topics as well as to find the topics distributed in each document from the corpus. In this article, we present a method for clustering communities in the social network VKontakte (the most popular Russian social network) ...
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Kolmogorova A., Qiuhua S., Вестник Волгоградского государственного университета. Серия 2: Языкознание 2024 Vol. 23 No. 5 P. 60–71
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Malik M. S., Nawaz A., Jamjoom M. M. et al., Intelligent Data Analysis 2024 Vol. 28 No. 4 P. 1045–1065
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Sergei Koltcov, Surkov A., Filippov V. et al., PeerJ Computer Science 2024 Vol. 10 P. 41
Topic modeling is a widely used instrument for the analysis of large text collections.
In the last few years, neural topic models and models with word embeddings have
been proposed to increase the quality of topic solutions. However, these models
were not extensively tested in terms of stability and interpretability. Moreover, the
question of selecting the number of topics ...
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In public and academic debate, rap is often presented as one of the most aggressive music genres, depicting violence and cruelty in various ways. One of the reasons for that is rap’s social background. It emerged in the criminal area of New York first created by the deprived Black population. Using the notion of hegemonic ...
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Vashchenko V., Социология: методология, методы, математическое моделирование 2023 № 56 С. 69–112
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