Analysis of the Covid-19 Process in Terms of Health Managers

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dc.authorscopusid57911403100
dc.authorscopusid57911198700
dc.authorscopusid57189887324
dc.authorscopusid57912401600
dc.authorscopusid57912401700
dc.contributor.authorPalavar, Yunus Emre
dc.contributor.authorÇelik, Zeynep
dc.contributor.authorAlbayrak, Ahmet
dc.contributor.authorÖzçelik, Emine
dc.contributor.authorErdil, Mustafa
dc.date.accessioned2023-07-26T11:53:52Z
dc.date.available2023-07-26T11:53:52Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionIEEE Turkey Section;Istanbul Atlas Universityen_US
dc.description2nd International Conference on Computing and Machine Intelligence, ICMI 2022 -- 15 July 2022 through 16 July 2022 -- 182557en_US
dc.description.abstractIn this study, sentiment analysis was conducted on the data of the Covid-19 epidemic process from the official twitter account of the Republic of Turkey Fahrettin Koca, Minister of Health, @drfahrettinkoca (SO) and the Twitter account of the @WHO (World Health Organization). First of all, twitter data was obtained and necessary arrangements were made for analysis. Then, tweets were shown with a word cloud and it was determined which words were used more frequently. Afterwards, sentiment analysis was performed on the data using the TextBlob library. In addition, it has been found out which subjects are focused on tweets sent from SO and @WHO (World Health Organization) accounts with the LDA algorithm. It has been seen that positive tweets were sent from both accounts, giving positive messages to the society. © 2022 IEEE.en_US
dc.identifier.doi10.1109/ICMI55296.2022.9873660
dc.identifier.isbn9.78167E+12
dc.identifier.scopus2-s2.0-85138990670en_US
dc.identifier.urihttps://doi.org/10.1109/ICMI55296.2022.9873660
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12638
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPalavar, Yunus Emre
dc.institutionauthorErdil, Mustafa
dc.institutionauthorÖzçelik, Emine
dc.institutionauthorAlbayrak, Ahmet
dc.institutionauthorÇelik, Zeynep
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2022 2nd International Conference on Computing and Machine Intelligence, ICMI 2022 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectCovid-19en_US
dc.subjectSentiment analysisen_US
dc.subjectTopic Modelingen_US
dc.subjectTwitter data analysisen_US
dc.subjectWordClouden_US
dc.subjectHealthen_US
dc.subjectSocial networking (online)en_US
dc.subjectCovid-19en_US
dc.subjectEpidemic processen_US
dc.subjectSentiment analysisen_US
dc.subjectTopic Modelingen_US
dc.subjectTwitter data analyseen_US
dc.subjectWord cloudsen_US
dc.subjectWordclouden_US
dc.subjectWorld Health Organizationen_US
dc.subjectSentiment analysisen_US
dc.titleAnalysis of the Covid-19 Process in Terms of Health Managersen_US
dc.typeConference Objecten_US

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