Cluster and Sentiment Analyses of YouTube Textual Feedback of Programming Language Learners to Enhance Learning in Programming

• Main Authors: Bringula, Rex, Victorino, John Noel, De Leon, Marlene, Estuar, Ma. Regina Justina E
• Format: text
• Published: Archīum Ateneo 2019
• Subjects: Learning; Programming; Sentiment analysis; Videos; YouTube; Computer Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/182; https://link.springer.com/chapter/10.1007/978-3-030-32523-7_67
• Institution: Ateneo De Manila University

This study intends to determine the clusters and sentiments of feedback of YouTube users in learning to program in Python and C++. Toward this goal, a total of 2,583 feedback on introductory video tutorials about Python and C++ were collected. It is found that the words “thanks” and “thank” were the...