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Enhancing Sentiment Analysis in Uzbek Language Texts through Weighted Lexical Features

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Department of Information Technologies

DOI

https://doi.org/10.1109/EDM61683.2024.10615124
Final published version

Davlatyor Mengliev
Nilufar Abdurakhmonova
Vladimir Barakhnin
Kamola Vasliddinova
Hasanboy Rahimov
Kamola Djalolova

Original language	English
Title of host publication	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Publisher	IEEE Computer Society
Pages	2450-2453
Number of pages	4
ISBN (Print)	9798350389234
DOIs	https://doi.org/10.1109/EDM61683.2024.10615124
Publication status	Published - 2024
Event	25th IEEE International Conference of Young Professionals in Electron Devices and Materials - Республика Алтай, Russian Federation Duration: 28 Jun 2024 → 2 Jul 2024 Conference number: 25 https://edm.ieeesiberia.org/

Publication series

Name	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

Conference

Conference	25th IEEE International Conference of Young Professionals in Electron Devices and Materials
Abbreviated title	EDM 2024
Country/Territory	Russian Federation
Period	28.06.2024 → 02.07.2024
Internet address	https://edm.ieeesiberia.org/

Research areas

NLP, Sentiment analysis, Uzbek language, idioms, lexicon-based algorithm, low-resource languages, morphological analysis, natural language processing, negations, text emotional tone, weighted lexical features

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES

ID: 60549143