"Online Course Reviews Dataset for Sentiment Analysis"

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Authors: Suhair Ahmad, Putra Sumari, Pantea Keikhosrokiani, Laith Abualigah
Cited by: 0

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