BranchVoice
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Restaurant and Hotel Review Classifier: Analyse HoReCa Feedback

Flags the topics in hospitality and food-service reviews separately, making comparisons across locations and periods easy.

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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.

Food quality
Taste, freshness and quality of food and drinks.
Portion size
Portion sizes.
Service speed
How fast orders are taken and served.
Staff attitude
Staff friendliness or rudeness.
Cleanliness / hygiene
Hygiene of tables, toilets, rooms and kitchen.
Price / value
Price and value for money.
Ambience
Ambience, noise, music, view, decor.
Reservation / waiting
Reservations, check-in and waiting for a table or room.
Room comfort
Room, bed, bathroom and comfort of the stay.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Menu and kitchen quality

    Track taste, freshness and portion complaints by branch and period to keep kitchen standards.

  • 02

    Service and staff

    Use service-speed and staff-attitude reviews to plan shifts and spot training needs.

  • 03

    Hotel guest experience

    Separate room comfort, cleanliness and check-in reviews to manage guest satisfaction by department.

  • 04

    Chain standards

    Compare every location with the same labels and find the ones drifting from the brand standard.

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.

Other tools

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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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