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.

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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Content being current or outdated.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].

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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.

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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.

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