Covid-19 pandemi sürecinde uzaktan eğitimin twitter yansımalarının duygu analizi

Year 2022, , 228 - 242, 31.07.2022

Engin Kandıran , Burcu Gumus , Mehmet Ali Özer

https://doi.org/10.24289/ijsser.1102248

Cited By: 3

Abstract

Çalışmanın amacı Covid-19 pandemi sürecinde uzaktan eğitime geçilmesinin Türk toplumu tarafından nasıl değerlendirildiğini sosyal medya paylaşımları üzerinden duygu (sentiment) analizi yapılarak anlamaktır. Bu amaçla örgün eğitime ara verilen tarih olan 16 Mart 2020 ile 17 Mayıs 2021 arasında Twitter’da eğitim ile ilgili öne çıkan 28 etiket belirlenmiştir. Twitter API aracılığıyla sadece Türkçe 8545 tweet elde edilerek veri seti oluşturulmuştur. Ayrıca ilgili dönemde yetkililer tarafından günlük aktarılan vaka sayılarının paylaşımları olumlu mu olumsuz mu etkilediği de değerlendirilmiştir. Son olarak veri setinin içinde en çok tekrar eden kelimeler değerlendirilmiştir. Böylece en çok tekrar eden açıklamaların neler olduğu belirlenmiştir. Analizler sonucunda, uzaktan eğitime ilişkin tweet’lerin vaka sayılarındaki artış ile paralellik gösterdiği belirlenmiştir. Ayrıca, paylaşımda bulunan kişilerin genelde sağlığa dayalı endişelerden ötürü uzaktan eğitim ilgili pozitif paylaşımlarda bulunulduğu belirlenmiştir.

Keywords

Uzaktan eğitim, Sentiment analiz, Twitter, Covid-19, BERT modeli

Sentiment analysis of twitter reflections of distance education in the covid-19 pandemic process

Abstract

The aim of the study is to understand how the Turkish society evaluates the transition to distance education during the Covid-19 pandemic process by making sentiment analysis over Twitter posts. Hence, 28 prominent education-related tags were determined between 16.03.2020 - 17.05.2021. The data set was created by obtaining 8545 tweets in Turkish via the Twitter API. In addition, it was evaluated whether the number of cases reported daily by the authorities in the relevant period affected the shares positively or negatively. Finally, the most repeated words were evaluated to establish the most repetitive explanations. As a result, it was determined that the tweets related to distance education were in parallel with the increase in the number of cases and positive sharing due to health-related concerns.

Keywords

Distance education, Sentiment analysis, Twitter, Covid-19, BERT model

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