Open AccessSentiment Analysis of Face-To-Face Learning Based on Social Media
Author(s) -
Hendra Saputra Batubara,
Ambiyar Ambiyar,
Syahril Syahril,
Fadhilah Fadhilah,
Ronal Watrianthos
Publication year - 2021
Publication title -
jurnal pendidikan teknologi kejuruan
Language(s) - English
Resource type - Journals
eISSN - 2621-3273
pISSN - 2621-1548
DOI - 10.24036/jptk.v4i3.22623
Subject(s) - face to face , face (sociological concept) , social media , sentiment analysis , psychology , naive bayes classifier , computer science , internet privacy , artificial intelligence , sociology , world wide web , social science , philosophy , support vector machine , epistemology
The use of restricted face-to-face learning during the epidemic in Indonesia was discussed not just by education and health professionals, but also on social media. The study used the Twitter dataset with the keywords 'school' and 'face-to-face' to examine public opinion about face-to-face learning. The research data was obtained from Twitter utilizing Drone Emprit Academic, and it was then processed using the Naive Bayes method to create sentiment analysis. During that time, research revealed that 32% of people were positive, 54% were negative, and 14% were indifferent. Because of worries about the dangers associated with the use of face-to-face learning, negative attitudes predominate.