Papers by Petr Strepetov

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Challenge:	Detecting mental disorders and patient emotions through text analysis and machine learning is of increasing interest to researchers over the past decade.
Approach:	They compare the performance of traditional machine learning methods and encoder-based models on Russian-language datasets to those of large language models.
Outcome:	The proposed models outperform traditional methods on small and noisy datasets, but can perform comparable to language models when trained on patients with clinically confirmed depression.