Sosyal Medyada Duygu Analizi: COVID-19 Sürecinde 5G Algısı.
This study is aimed at measuring the perception created by the COVID-19 vaccines on people around the world using Sentiment Analysis - taking into account the fifth generation (5G) cellular networks, which are expected to bring new capabilities that will create opportunities for society. For this pu...
| Publicado en: | International Journal of Social Inquiry Vol. 15; no. 1; pp. 55 - 69 |
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| Autores principales: | , |
| Formato: | Artículo |
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International Journal of Social Inquiry
Jun2022
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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=ssf&AN=159019116&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 159019116 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 13078364 B2BW jtl: International Journal of Social Inquiry issn: 13078364 maglogo: N pubinfo: dt: Jun2022 vid: 15 iid: 1 pid: 58158 pub: International Journal of Social Inquiry artinfo: ui: 159019116 10.37093/ijsi.928685 ppf: 55 ppct: 14 formats: tig: atl: Sosyal Medyada Duygu Analizi: COVID-19 Sürecinde 5G Algısı. aug: au: Çakmak, Elçin Timur Oğuzlar, Ayşe affil: Bursa Uludağ Üniversitesi, Sosyal Bilimler Enstitüsü, Ekonometri Bölümü, İstatistik ABD, Görükle Kampüsü, Bursa / Türkiye. Sorumlu Yazar Prof. Dr., Bursa Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü, İstatistik ABD, Görükle Kampüsü, Bursa / Türkiye su: X Corp. Sentiment analysis Microblogs COVID-19 vaccines Python programming language Regression trees Random forest algorithms sug: subj: Sentiment analysis Microblogs X Corp. COVID-19 vaccines Python programming language Regression trees Random forest algorithms keyword: classification algorithms COVID-19 vaccine machine learning sentiment analysis 5G COVID-19 aşısı duygu analizi makine öğrenmesi sınıflandırma algoritmaları classification algorithms COVID-19 vaccine machine learning sentiment analysis 5G COVID-19 aşısı duygu analizi makine öğrenmesi sınıflandırma algoritmaları ab: This study is aimed at measuring the perception created by the COVID-19 vaccines on people around the world using Sentiment Analysis - taking into account the fifth generation (5G) cellular networks, which are expected to bring new capabilities that will create opportunities for society. For this purpose, 25642 tweets were taken from Twitter between October and December 2020 and analyzed using Python software. Accordingly, 36.4% of people worldwide who expressed their opinions on Twitter have a positive perception of 5G and the COVID-19 vaccine, also 35.6% of the tweeters do not have a positive or negative view (neutral) has been observed. However, it was observed that 28% of the people expressed negative opinions. The overall sentiment score is 0.15. Also, in this study, Classification and Regression Trees (CART), Naïve Bayes (NB), k-Nearest Neighbour (KNN), and Random Forest (RF) algorithms were applied. According to the findings, the best results were obtained by NB with 0,7852 precision (P) and 0,7445 accuracy (A) values, KNN with 0,8209 recall (R) value, and RF with 0,7866 F-measure (F) value. pubtype: Academic Journal doctype: Article src: R language: Turkish refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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