Creating a Semantic Knowledge Base and Corpus for Emotion Recognition in Kazakh-Language Texts: Methodologies, Tools, and Technologies
Banu Yergesh, Lyaila Kenzhina, Assel S. Mukanova · 2024
This paper aims to review tools and technologies for collecting and processing data to create a knowledge base of emotional words and phrases, as well as a corpus of emotional texts in the Kazakh language. In this paper, we present an overview of existing methods and tools for recognizing emotions in texts and propose approaches to creating the linguistic resources necessary for analyzing emotions in the Kazakh language. We also discuss potential directions for further research and the application of the developed methods in real-world settings. Thus, the study aims to fill the existing gap in the field of emotion recognition in the Kazakh language and proposes methodological and technological solutions that can be adapted and applied to other low-resource languages.