Exploring YouTube content creators' perspectives on generative AI in language learning: Insights through opinion mining and sentiment analysis.
Ontology highlight
ABSTRACT: This study aims to capture the stance of YouTube video content creators regarding the use of generative AI for language learning. Opinion mining and sentiment analysis techniques were employed to analyse the content, comments, and transcriptions of 66 YouTube videos published from December 2022 to October 2023. The findings revealed that most videos focused on speaking (n = 40) and writing skills (n = 24), with fewer videos addressing listening (n = 3) and reading (n = 19) skills. Sentiment analysis showed that videos predominantly conveyed optimistic (n = 42) and analytical (n = 17) sentiments, indicating a generally positive stance towards generative AI for language learning. Clustering analysis identified four thematic clusters: "language development and practices" (n = 33), "basic expr
SUBMITTER: Bal M
PROVIDER: S-EPMC11426429 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
ACCESS DATA