Restaurant & Cafe Reviews Sentiment Classifier
This model is a binary model created to understand the sentiment among restaurants and cafes.
See it in Action!
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Labels
| Positive | : Positive label contains the positive sentiment among places. |
| Negative | : Negative label contains the negative sentiment among places. |
Languages
English
Description
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".
