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 …

To our knowledge, the majority of human language processing technologies for low-
resource languages don't have well-established linguistic resources for the development of …

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 …

Sentiment analysis is one of the most important and interesting tasks in natural languages. A
number of resources and tools have been developed for sentiment analysis of English …

Opinion mining on social media posts has become more and more popular. Users often
express their opinion on a topic not only with words but they also use image symbols such …

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 …

In this work we described the rule-based method, using dictionary for sentiment analysis of
texts in the Kazakh language related to the terrorist threats. It provides an overview of the …

Making natural language processing technologies available for low-resource languages is
an important goal to improve the access to technology in their communities of speakers. To …

The interface design task involves creating a social task constructor for user customization.
Existing digital platforms for solving social problems prioritize features like accessibility …

In this paper, based on the multilingual morphological analyzer, we researched the similar
low-resource languages, Uyghur and Kazakh, short text classification. Generally, the online …