The emotional speech recognition method presented in this article was applied to recognize
the emotions of students during online exams in distance learning due to COVID-19. The …

The volume of social media data on the Internet is constantly growing. This has created a
substantial research field for data analysts. The diversity of articles, posts, and comments on …

The article deals with the development of an ontological model of words in public political
discourse and texts of public speeches in the Kazakh language. The article presents an …

This paper presents KazSAnDRA, a dataset developed for Kazakh sentiment analysis that is
the first and largest publicly available dataset of its kind. KazSAnDRA comprises an …

This paper proposes a syntactic analysis of Kazakh simple sentences taking into account
their semantics. To do this, first, the syntactic rules of sentences are described using formal …

This article delves into the analysis of hotbeds points in political discourse, examining the
diverse forms they can take. The primary focus revolves around the officiality and openness …

Social media services and analytics platforms are rapidly growing. A large number of
various events happen mostly every day, and the role of social media monitoring tools is …

This paper introduces a knowledge base and a method for the automatic classification of
given simple sentences of the Kazakh language based on the construction of their parse …

Over the past year, distance learning has become an integral part of our lives and a rapidly
developing field. Compared to traditional classroom learning, online learning has …

This article is devoted to solving the problem of converting sign language into a consistent
text with intonation markup for subsequent voice synthesis of sign phrases by speech with …