Kuriyozov, ElmurodMatlatipov, Sanatbek2019-08-092019-08-092019-08-02Kuriyozov, E.; Matlatipov, S. Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models. Proceedings 2019, 21, 37.2504-3900http://hdl.handle.net/2183/23667[Abstract] Making natural language processing technologies available for low-resource languages is an important goal to improve the access to technology in their communities of speakers. In this paper, we provide the first annotated corpora for polarity classification for Uzbek language. Our methodology considers collecting a medium-size manually annotated dataset and a larger-size dataset automatically translated from existing resources. Then, we use these datasets to train sentiment analysis models on the Uzbek language, using both traditional machine learning techniques and recent deep learning models.engCreative Commons License Attribution (CC BY 4.0)http://creativecommons.org/licenses/by/4.0/es/Sentiment analysis datasetUzbek languageSentiment classificationNatural language processingDeep learningjournal articleopen access