Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Twitter Messages Related To Autism Spectrum Disorders

dc.authorid Goksel, Pelin/0000-0002-6328-2557
dc.authorid Dikec, Gul/0000-0002-7593-4014
dc.authorwosid Usta, Mirac/L-7999-2017
dc.authorwosid Goksel, Pelin/JBJ-0608-2023
dc.authorwosid Dikec, Gul/L-1623-2018
dc.contributor.author Dikeç, Gül
dc.contributor.author Oban, Volkan
dc.contributor.author Dikec, Gul
dc.contributor.author Usta, Mirac Baris
dc.contributor.other Hemşirelik Bölümü
dc.date.accessioned 2025-01-11T13:03:55Z
dc.date.available 2025-01-11T13:03:55Z
dc.date.issued 2023
dc.department Fenerbahçe University en_US
dc.department-temp [Göksel, Pelin] Ondokuz Mayis Univ, Psychiat, Samsun, Turkiye; [Dikec, Gul] Fenerbahce Univ, Nursing, Istanbul, Turkiye; [Usta, Mirac Baris] Ondokuz Mayis Univ, Child Psychiat, Samsun, Turkiye en_US
dc.description Goksel, Pelin/0000-0002-6328-2557; Dikec, Gul/0000-0002-7593-4014 en_US
dc.description.abstract Background: The aim of our study was to conduct an emotional analysis of Turkish Twitter messages related to autism spectrum disorders (ASD). Methods: An emotion analysis was performed using quantitative and qualitative analysis methods on Turkish Twitter messages shared between November 2021 and January 2022 that contained the words "autism" and "autistic." Results: It was found that 81.5% of the 13,042 messages that constituted the sample of this study contained neutral emotions. The most frequently used words in Twitter messages were autism, a, universe, strong, patience, warriors, and happy. The qualitative analysis revealed three main themes. These themes were: "experiences," "informing society and awareness," and "humiliation." Conclusion: In this study, it was found that Turkish Twitter messages related to autism, which were analyzed using artificial intelligence-based emotion analysis, often contained neutral emotions. While the content of these messages, often shared by parents, was related to experiences, and the messages shared by pediatric psychiatrists and rehabilitation center employees were informative in nature, it was determined that the word "autism" was used to insult, which is outside of its medical meaning. en_US
dc.description.woscitationindex Emerging Sources Citation Index
dc.identifier.citation 1
dc.identifier.doi 10.7759/cureus.38446
dc.identifier.issn 2168-8184
dc.identifier.issue 5 en_US
dc.identifier.pmid 37143854
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.7759/cureus.38446
dc.identifier.uri https://hdl.handle.net/20.500.14627/313
dc.identifier.volume 15 en_US
dc.identifier.wos WOS:000999424900001
dc.language.iso en en_US
dc.publisher Springernature en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Health Public en_US
dc.subject Emotion Analysis en_US
dc.subject Twitter Messagging en_US
dc.subject Social Media en_US
dc.subject Autism Spectrum Disorder (Asd) en_US
dc.title Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Twitter Messages Related To Autism Spectrum Disorders en_US
dc.type Article en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
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