Restaurant & Cafe Reviews Sentiment Classifier
This model is a binary model created to understand the sentiment among restaurants and cafes.
This model is a binary model created to understand the sentiment among restaurants and cafes.
From Tripadvisor to Yelp and Google Business, restaurants and cafes are now receiving thousands of comments every day. This binary model is created to understand the sentiment among the places with 93% accuracy rate with 6460 trained reviews about restaurants and cafes. The reviews contain sentiment about meals, portons, stuff, taste, smell, delivery and even the sentiment about the atmosphere! The data is with 2 labels, which are "Positive" and Negative".
| Positive | : Positive label contains the positive sentiment among places. |
| Negative | : Negative label contains the negative sentiment among places. |
You can also train custom AI models to classify customer feedback with your own labels. Upload your training set, build your model, and start analyzing—all no code!
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Industry-Specific AI Models are pre-trained classifiers built using labeled customer feedback from a specific sector. They help businesses analyze and categorize feedback with high accuracy, without requiring any manual setup.
Yes! You can create custom AI models tailored to your needs. Simply upload a training dataset with your own labels, build the model, and start analyzing feedback—all without writing a single line of code.
No, our platform is designed to be completely no-code. Just input customer feedback, and the model will classify it instantly.
Yes, we offer an API for seamless integration. Visit our Plans & Pricing page to explore the packages that include API access.
Yes! You can enter a custom text in our console to see real-time classification results from any of our pre-trained AI models.
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