Annotated Corpus for Sentiment Analysis in the Uzbek Language
Received: 2026-07-05 05:58:44
Published: 2025-12-21
Abstract
This study examines the methodology for creating an annotated corpus for sentiment analysis in the Uzbek language. Unlike high-resource languages with large annotated corpora, resources for the Uzbek language remain limited. The study analyzes international experience and proposes a methodology for developing a corpus adapted to the linguistic characteristics of the Uzbek language. The proposed approach contributes to the development of more accurate and reliable sentiment analysis models for Uzbek.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
