Publications
Dataset · Mendeley Data · May 1, 2026
UzEDSA: Uzbek Emotion and Sentiment Analysis Dataset
Botir Elov, Ruhillo Alaev
Abstract
UzEDSA (Uzbek Emotion and Sentiment Analysis Dataset) is an open-access dataset designed for emotion detection and sentiment analysis tasks in the Uzbek language. It has been developed to support Natural Language Processing (NLP) research for low-resource languages, with a particular focus on Uzbek. The dataset consists of curated and preprocessed Uzbek-language texts collected from various sources. Each text instance is annotated with corresponding sentiment or emotion labels, enabling its use in supervised machine learning and deep learning tasks. The dataset is suitable for training, evaluation, and benchmarking of modern NLP and Large Language Models (LLMs).
Sentiment Analysis and Opinion MiningEmotion and Mood RecognitionTopic ModelingUzbek languageemotion recognitionsentiment analysis
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