0x0addc001/MOOC-ABSA-REC-SYS

MARS: Sentiment Analysis Based MOOC Recommendation System(基于评论方面级情感分析的慕课推荐系统)

36
/ 100
Emerging

This system helps educators and students on MOOC platforms by analyzing course reviews. It takes in raw student comments, identifies specific aspects like 'teaching style' or 'course content,' determines the sentiment (positive/negative) for each aspect, and then uses this to provide personalized course recommendations for learners and detailed feedback visualizations for instructors. It is designed for university course instructors and online learners to improve course quality and selection.

Use this if you are a MOOC instructor wanting to understand detailed student feedback on specific course aspects, or a student looking for personalized course recommendations based on others' detailed experiences.

Not ideal if you need to analyze sentiment for very short, unstructured texts outside of course reviews, or require a system that works across many different e-learning platforms beyond Chinese university MOOCs.

online-education course-feedback student-experience curriculum-development personalized-learning
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

27

Forks

2

Language

Vue

License

MIT

Last pushed

Dec 18, 2025

Commits (30d)

0

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