Online Course Review Classifier: Split Course Reviews into Topics
Eleven core topics for learning platforms and instructors: see what students find useful and why they drop out.
Examples
Result
The result will appear here.
Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.
Labels
The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.
- Instructor
- Teaching, clarity and expertise.
- Content quality
- Depth, accuracy and usefulness.
- Course structure
- Section order, pace and length.
- Hands-on practice
- Exercises, projects and real-world examples.
- Level match
- The course being too basic or too advanced for its level.
- Up to date
- Content being current or outdated.
- Audio and video
- Audio, video and subtitle quality.
- Platform experience
- Player, app and access to the course.
- Certificate
- The certificate and its value.
- Price and value
- Course price and value for money.
- Instructor support
- Q&A and answers from the instructor.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Course quality management
Score every course with the same labels to find content that needs updating and standout instructors.
- 02
Raising completion rates
Catch level-mismatch and structure complaints to reduce drop-outs.
- 03
Instructor feedback
Give instructors concrete, data-backed feedback on teaching, examples and support.
- 04
Corporate training evaluation
Classify internal training surveys to measure the impact of your training budget.
Use this model in your own system
Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].
Frequently asked questions
- Is this tool free?
- Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
- Which languages does it support?
- It understands multilingual text, Turkish and English first; results are shown in your interface language.
- Is my text stored?
- No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
- Can I analyse in bulk?
- The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.
Other tools
All tools- E-commerce Review ClassifierDelivery, packaging, size and return issues
- Mobile App Review ClassifierCrashes, login, payments, performance
- Mobile Game Review ClassifierGameplay, balance, ads, in-app purchases
- Software Feedback ClassifierEase of use, features, bugs, pricing
- Restaurant and Hotel Review ClassifierFood, service, cleanliness, rooms
- Banking Feedback ClassifierMobile banking, cards, fees, loans
- Automotive Feedback ClassifierPerformance, comfort, fuel, service
- Mobile Network Feedback ClassifierCoverage, data speed, billing, tariffs
Want to analyse thousands of reviews automatically?
BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.
Request a demo