Publication:
Emotions on social media: A sentiment analysis approach based on twitter (x) data on the Russian–Ukraine war

dc.contributor.authorEğinli, Ayşen Temel
dc.contributor.authorTaş, Neslihan Özmelek
dc.date.accessioned2024-05-13T11:19:41Z
dc.date.available2024-05-13T11:19:41Z
dc.date.issued2023-12-25
dc.description.abstractTwitter (X) is an important tool that reflects the feelings and attitudes of the public. For this reason, in this study, especially when it comes to events that concern society, Twitter provides an opportunity to both follow the agenda and understand the reactions through instant sharing. Twitter is a social media platform that allows the public to convey their feelings, thoughts, and attitudes to the masses. Twitter provides the opportunity to stay up–to–date and understand reactions through instant posts, especially for social events. In this research, Twitter posts made with the Ukraine hashtag between March 1 and April 30, 2022, during the Russia–Ukraine War, were eliminated with the ‟war” filter, and the expressions were analyzed using the sentiment analysis method. Various URLs were eliminated, and research was carried out on ten thousand tweets. The tweets obtained were categorized as positive, negative, and neutral. Accordingly, the expressions containing positive, negative, and neutral emotions were analyzed by determining the emotional inferences of the words in the tweets with an artificial intelligence algorithm and then detailed by the researchers with content analysis. In this sense, this study becomes important in understanding how the masses express their reactions through emotional social media platforms and what their emotions are in this process. Therefore, this research can be a clue for the consequences of international war on the massesen_US
dc.identifier.citationTemel E., A. ve Özmelek T., N(2023). . Emotions on social media: A sentiment analysis approach based on Twitter (X) data on the Russian–Ukraine war. International Journal of Social Inquiry, 16(2), 445−459.en_US
dc.identifier.eissn1307-9999
dc.identifier.endpage459
dc.identifier.issn1307-8364
dc.identifier.issue2
dc.identifier.startpage445
dc.identifier.urihttps://hdl.handle.net/11452/41418en_US
dc.identifier.volume16
dc.language.isoen
dc.publisherBursa Uludağ Üniversitesitr_TR
dc.relation.journalInternational Journal of Social Inquiryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.otherSocial mediaen_US
dc.subject.otherEmotionen_US
dc.subject.otherWaren_US
dc.subject.otherSentiment analysisen_US
dc.titleEmotions on social media: A sentiment analysis approach based on twitter (x) data on the Russian–Ukraine waren_US
dc.typeArticleen_US
dspace.entity.typePublicationen_US

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