AI and Human Factors in Sentiment Analysis of Online Comments From a Cultural Perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F25%3A73634740" target="_blank" >RIV/61989592:15210/25:73634740 - isvavai.cz</a>
Result on the web
<a href="https://apsx.nau.edu.ua/wp-content/uploads/2024/10/Zbirnyk_mater_konf_APSKh_NAU_17.04.2024-1.pdf" target="_blank" >https://apsx.nau.edu.ua/wp-content/uploads/2024/10/Zbirnyk_mater_konf_APSKh_NAU_17.04.2024-1.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AI and Human Factors in Sentiment Analysis of Online Comments From a Cultural Perspective
Original language description
This research examines the capabilities of large AI-based language models to systematically classify the sentiment of comments on popular social media among Ukrainian and Czech audiences, as well as compares the results of machine analysis and human native speakers, identifying the most reliable model for each culture.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Збірник Наукових Праць V Міжнародної науково-практичної конференції «Індивідуальність у Психологічних Вимірах Спільнот та Професій»
ISBN
978-966-931-328-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
18-21
Publisher name
State University “Kyiv Aviation Institute” (KAI)
Place of publication
Kyjev
Event location
State University “Kyiv Aviation Institute”
Event date
Apr 17, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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