Статья

Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models

Elmurod KuriyozovCITIC, Grupo LYS, Departamento de Computación. Facultade de Informática, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, SpainSanatbek MatlatipovApplied Mathematics and Computer Analysis Department, National University of Uzbekistan, University Str. 4, Tashkent 100174, Uzbekistan

2019en

ABI

Аннотация

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.

Темы

Sentiment Analysis and Opinion Mining Topic Modeling Natural Language Processing Techniques

Идентификаторы

DOI: 10.3390/proceedings2019021037

Цитирования и источники

Цитирований: 7 Использованных источников: 7

Показатели — AkademScholar · Скоро