Uzbek Texts Sentiment Analysis: Database Development

Saboxat Allanazarova, Dilrabo Elova

2023

Abstract

In the digital era, research centered on exploring customer sentiments towards service quality, brands, products, and events predominates. Social networks are pivotal platforms for this investigation, leveraging online reviews to gauge consumer opinions across diverse domains. Among the myriad approaches to sentiment analysis, this article focuses on the lexicon-based method, employing a dictionary of emotive words tailored to the Uzbek language. This method involves parsing text to identify words with emotional connotations, enabling a nuanced understanding of customer sentiment. By harnessing lexicon-based sentiment analysis, researchers can dissect and interpret consumer perceptions, providing invaluable insights for businesses and organisations seeking to enhance customer satisfaction and refine their offerings.

Paper Citation

in Harvard Style

Allanazarova S. and Elova D. (2023). Uzbek Texts Sentiment Analysis: Database Development. In Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR-2; ISBN 978-989-758-723-8, SciTePress, pages 744-747. DOI: 10.5220/0012915100003882

in Bibtex Style

@conference{pamir-223,
author={Saboxat Allanazarova and Dilrabo Elova},
title={Uzbek Texts Sentiment Analysis: Database Development},
booktitle={Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR-2},
year={2023},
pages={744-747},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012915100003882},
isbn={978-989-758-723-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR-2
TI - Uzbek Texts Sentiment Analysis: Database Development
SN - 978-989-758-723-8
AU - Allanazarova S.
AU - Elova D.
PY - 2023
SP - 744
EP - 747
DO - 10.5220/0012915100003882
PB - SciTePress