@article{article_1035267, title={Examining Public Opinion Regarding Online Learning during Covid19 Outbreak: Sentiment Analysis}, journal={Avrupa Bilim ve Teknoloji Dergisi}, pages={425–431}, year={2021}, DOI={10.31590/ejosat.1035267}, author={Aydın, Cansu}, keywords={covid-19, duygu analizi, çevrimiçi eğitim, sentiment analizi}, abstract={The pandemic process, which started with the World Health Organization (WHO) declaring a Covid19 epidemic in March 2020, has affected the education sector in an unprecedented way, as it has many other sectors (World Health Organization, 2020). During the quarantine period due to Covid19, people have used social networks more than ever to express their feelings and find a way to calm themselves. Today, social media platforms are of great importance for their daily lives and in setting policy agenda (Wu et all, 2013). Considering the increasing prevalence of online learning and a large number of items that regularly appear about online learning on social media, especially with the pandemic period, sentiment analysis was used as a method to learn the opinions of the public on online education during Covid19 Outbreak. Twitter has been chosen as a data source and text mining has been conducted using Tweepy library. Only English tweets were mined using necessary hashtags related to coronavirus and distance learning. The collected data is 5 weeks from 03-05-2021 to 31-05-2021. With the results of sentiment analysis, it is possible to quickly learn the dissatisfaction, appreciation and concerns of the society about online learning by the management and to develop strategies to increase the quality of education and training services. In this study, the results of the sentiment analysis are provided.}, number={29}, publisher={Osman SAĞDIÇ}