Covid-19 Salgını ile İlgili Paylaşımlar Üzerinde Veri Analizi

Year 2022, , 13 - 23, 31.01.2022

Nur Tuna , Aslı Sebatlı Sağlam , Fatih Çavdur

https://doi.org/10.17671/gazibtd.928990

Cited By: 4

Abstract

Tüm Dünya’yı etkisi altına alan Covid-19 salgını, Twitter sosyal medya platformunda salgın ile ilgili konularda büyük veri kümelerinin oluşumuna sebep olmuştur. Oluşan bu veri kümeleri, toplumun konuya yaklaşımını belirlemek adına veri analiz çalışmaları için zengin bir veri kaynağı teşkil etmektedir. Bu çalışmada, Covid-19 salgını ile ilgili Twitter paylaşımları üzerinde R programlama dili kullanılarak çeşitli veri analizleri yapılmıştır. Bu uygulamalar genel olarak metin analizi, ağ analizi ve duygu analizi şeklinde sınıflandırılabilir. Çalışmada, “#covid19”, “#covid-19” ve “#coronavirus” etiketlerine sahip İngilizce dilinde 09.12.2020 ve 20.03.2021 tarihleri arasında yapılan 110.883 paylaşım toplanarak temizlenmiştir. Çalışma kapsamında yapılan analizlerde, konu ile ilgili en çok paylaşım yapılan kullanıcı lokasyon bilgileri, birlikte en sık kullanılan kelime ve kelime çiftleri ile olumlu ve olumsuz kelimeler tespit edilmiştir. Yapılan çalışmanın, toplumun sosyal medyada paylaştığı çeşitli fikir ve düşüncelerinin hangi yönde olduğunu görmek açısından önemli olduğu düşünülmektedir. Elde edilen sonuçlar incelendiğinde, insanların duygu ve düşüncelerinin yanı sıra, ihtiyaç ve beklentilerini de sosyal ağlar aracılığıyla dile getirdiği görülmüştür. Ayrıca Twitter sosyal medya platformunun toplumu etkileyen güncel olaylar hakkında anında bilgi almak amacıyla kullanılabilecek olan en önemli sosyal ağlardan biri olduğu bir kez daha anlaşılmıştır.

Keywords

covid-19, tweet analizi, metin analizi, ağ analizi, kelime ağı, duygu analizi

Data Analysis on the Covid-19 Pandemic-Related Posts

Abstract

The Covid-19 pandemic affected the whole world caused the formation of large data sets on pandemic-related issues on the Twitter social media platform. These data sets constitute a rich data source for data analysis studies in order to determine the approach of the society to the subject. In this study, some data analyzes are carried out using R programming language on the Twitter posts (tweets) related to the Covid-19 pandemic. These operations can be generally classified as text analysis, network analysis and sentiment analysis. In this study, 110,883 tweets posted between 09.12.2020 and 20.03.2021 in English with “#covid19”, “#covid-19” and “#coronavirus” hashtags are collected and cleaned. The most tweeted user location information, the most frequently used words and word pairs, positive and negative words are analyzed in the study. The study is important in the sense that it allows us to see the directions of the various ideas and thoughts of the society on social media. It is observed from our finding that the society expressed its needs and expectations as well as its feelings and thoughts through social networks. It is also once again understood that Twitter is one of the most important social media platforms that we can use to receive instant information about the current events affecting the society.

Keywords

covid-19, tweet analysis, text mining, network analysis, word network, sentiment analysis

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