"Online Course Reviews Dataset for Sentiment Analysis"
Abstract
"The online courses have seen substantial growth; to evaluate these courses, the dataset was collected to extract the valuable knowledge from participant-generated content. This dataset contains 11670 reviews scraped from publicly available Coursera, one of the leading platforms for Massive Open Online Courses (MOOCs). The data were collected using a hybrid automated web-scraping pipeline and subsequently were anonymized. Each review is labeled into three sentiment classes: negative, neutral, or positive. The dataset is constructed to facilitate research in sentiment analysis, natural language processing (NLP), machine learning, deep learning, and educational data mining. The dataset is collected for benchmarking in MOOC-related sentiment studies to enhance the quality of online education with the use of AI."
Fields of Study & Subjects
Sentiment Analysis and Opinion Mining
Online Learning and Analytics
Educational Technology and Pedagogy
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 1 March 2026
- Language
- EN
- Document type
- Dataset