sharmaroshan/Coursera-Reviews-Analysis

It is a Natural Language Processing Problem where we have to decide the sentiments of the users who reviewed the course. and then classifying the reviews into positive and negative.

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Emerging

This project helps online course providers and educators understand student feedback by automatically categorizing course reviews. You feed in raw student review text from platforms like Coursera, and it outputs whether each review is positive, negative, or somewhere in between. It's designed for anyone managing or teaching online courses who needs to quickly gauge sentiment from many reviews.

No commits in the last 6 months.

Use this if you need to quickly assess the overall sentiment of a large number of student reviews for online courses without manually reading each one.

Not ideal if you require a nuanced understanding of specific issues raised in reviews, or if your reviews are from platforms other than Coursera and have different rating scales.

online-education course-management student-feedback sentiment-analysis educational-analytics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

8

Forks

3

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

May 02, 2019

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sharmaroshan/Coursera-Reviews-Analysis"

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