Yelp Dataset

doi:doi:10.57702/kui0rcj4

Yelp Dataset

The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for each of the 61K businesses were gathered over time via a social network of 366K people for a total of 2.9M social edges.

BibTex:

@dataset{Tiancheng_Zhao_and_Kyusong_Lee_and_Maxine_Eskenazi_2024,
    abstract = {The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for each of the 61K businesses were gathered over time via a social network of 366K people for a total of 2.9M social edges.},
    author = {Tiancheng Zhao and Kyusong Lee and Maxine Eskenazi},
    doi = {10.57702/kui0rcj4},
    institution = {No Organization},
    keyword = {'Binary Sentiment Classification', 'Business', 'Business Reviews', 'Collaborative Filtering', 'Food Popularity', 'Location-based Social Networks', 'Point-of-Interest Recommendations', 'Recommendation', 'Recommendation Systems', 'Restaurant Recommendation', 'Reviews', 'Sentiment Analysis', 'Social Media', 'Social Network', 'Text Classification', 'Text Style Transfer', 'User Feedback', 'Yelp', 'Yelp Dataset', 'Yelp dataset', 'business descriptions', 'business reviews', 'image recommendation', 'rating', 'restaurant reviews', 'review credibility', 'text analysis'},
    month = {nov},
    publisher = {TIB},
    title = {Yelp Dataset},
    url = {https://service.tib.eu/ldmservice/dataset/yelp-dataset},
    year = {2024}
}