Identify yelp reviews
                using AI
                
              
            
            
            Below is a free classifier to identify yelp reviews. Just input your text, and our AI will predict which star rating it is - in just seconds.
 
            Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("yelp-reviews-identifier", "your_text_here", credentials)
                
    fetch('https://www.nyckel.com/v1/functions/yelp-reviews-identifier/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                
    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/yelp-reviews-identifier/invoke
                How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict which star rating it is.
This pretrained text model uses the Yelp Dataset dataset and has 5 labels, including 1 star, 2, 3, 4, or 5.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which star rating it is).
Whether you're just curious or building yelp reviews detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify yelp reviews at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
        
        
- Restaurant management: Predict potential ratings for menu changes. Adjust offerings to improve customer satisfaction.
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- Franchise development: Identify high-performing locations for expansion. Replicate success factors across new franchise outlets.
- Review authenticity: Detect patterns in potentially fake or biased ratings. Maintain the integrity of the review platform.
 
             
            