ANNOTATED CORPUS FOR SENTIMENT ANALYSIS IN THE UZBEK LANGUAGE

This study examines the methodology for creating an annotated corpus for sentiment
analysis in the Uzbek language. Unlike developed languages, which have large annotated corpora,
resources for the Uzbek language are limited. The study analyzes international experience and proposes a
method for creating a corpus adapted to the Uzbek language. The proposed approach contributes to more
accurate and reliable sentiment analysis models for the Uzbek language.