DEVELOPMENT OF A LINGUISTIC DATABASE FOR SENTIMENT ANALYSIS
Abstract
Sentiment analysis is a field of research that uses NLP/Artificial Intelligence techniques to determine thoughts, emotions, and attitudes expressed about an object or event. This means analyzing the tone or mood of the text, feelings and thoughts. Many sentiment analysis studies and linguistic resources have been developed for the English language. However, there are a limited number of studies on the Uzbek language. The reasons for this are insufficient data collection, direct translation of existing English language resources not being compatible with the Uzbek language, differences in the grammatical structure of the two languages, and regional, religious, and mental differences. The study aims to identify emotional-expressiveness units that express emotional evaluation and to develop a linguistic database for emotional analysis. It deals with the issues of developing the linguistic support for sentiment analysis of Uzbek language texts; the study of context-dependent factors in emotional analysis; and determining the best style for the Uzbek language. Attention is paid to the analysis of expressing emotional evaluation means specific to the Uzbek language levels.
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