Abstract
By mining MOOC learners' online review text, the key factors affecting MOOC learners' loyalty are extracted to help course organizers improve the teaching content, optimize the design, implementation, and management of online courses, and improve the utilization efficiency of the MOOC platform. This paper collects the learners' review texts on MOOC's online excellent course platform in China, preprocesses the review texts, uses the TF-IDF algorithm to calculate the weight of text features, and extracts the topic of texts through the LDA topic model for analysis. From the perspective of learners, this paper points out that learning outcome, media technology, learning effect, course practicability, course interest, course learnability, teaching method, teaching content, learning experience, discussion and communication, and teachers' level are important factors affecting online learners' loyalty.
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