A text mining analysis of the change in status of the Hagia Sophia on Twitter: the political discourse and its reflections on the public opinion.
The Hagia Sophia served as a museum from November 24th, 1934 until it was reopened for worship on July 24th, 2020 with a Presidential Decree of the Republic of Turkey. As a result of the change in status of the Hagia Sophia, there have been discussions on Twitter. Hence, aiming to present text and s...
| Publicado en: | Atlantic Journal of Communication Vol. 32; no. 1; pp. 63 - 91 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=174685108&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174685108 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 15456870 U8J jtl: Atlantic Journal of Communication issn: 15456870 maglogo: Y pubinfo: dt: 2024 vid: 32 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 174685108 10.1080/15456870.2022.2093354 ppf: 63 ppct: 28 formats: fmt: – @attributes: type: T – @attributes: type: P size: 13.5MB tig: atl: A text mining analysis of the change in status of the Hagia Sophia on Twitter: the political discourse and its reflections on the public opinion. aug: au: Demirel, Sadettin Kahraman, Elif Gündüz, Uğur affil: PhD Candidate in Journalism, Institute of Social Sciences, Istanbul University, Istanbul, Turkey Department of Corporate Communications, Istanbul University, Istanbul, Turkey Faculty of Communication Department of Journalism, Istanbul University, Istanbul, Turkey su: Hagia Sophia (Museum : Istanbul, Türkiye) Text mining X Corp. Computational linguistics Sentiment analysis Data mining Public opinion Türkiye sug: subj: Türkiye Hagia Sophia (Museum : Istanbul, Türkiye) Text mining X Corp. Computational linguistics Sentiment analysis Data mining Public opinion ab: The Hagia Sophia served as a museum from November 24th, 1934 until it was reopened for worship on July 24th, 2020 with a Presidential Decree of the Republic of Turkey. As a result of the change in status of the Hagia Sophia, there have been discussions on Twitter. Hence, aiming to present text and sentiment analysis of those Tweets, text mining as a sub-branch of data mining is used as a methodology, which is for achieving meaningful information and outputs from raw data by configuring systematic ordering of unstructured data by using natural language processing methods and tools. In this research, 102,430 tweets that include Hagia Sophia as a word and a hashtag from July 10th, 2020 -that the status change of the Hagia Sophia was declared- to June 12th, 2021 are resolved and analyzed using the frequency, sentiment and network analysis. In conclusion, although there are more positive sentiments than the negative ones, the negative sentiment is clearly a discontent and backlash especially against Turkey and Islam. Furthermore, it becomes clear that Islam is associated with terrorism and radicalism. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Atlantic Journal of Communication is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Atlantic Journal of Communication holder: Taylor & Francis Ltd dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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