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Historical Yelp Dining Experience and Sentiment Database
Product Reviews & Feedback
Tags and Keywords
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"No reviews yet"
Free
About
Analysing consumer sentiment within the hospitality sector requires authentic, long-form feedback from a variety of dining contexts. Capturing over 15 years of customer experiences, these records provide a detailed view of restaurant performance and public perception. The collection documents both qualitative text and quantitative ratings, offering a foundation for examining how service quality and culinary trends have evolved since the mid-2000s. By bridging the gap between raw user opinions and structured data, this resource enables a thorough exploration of the modern dining landscape.
Columns
- Yelp URL: The specific web address for the restaurant's profile, identifying which of the approximately 49 unique business locations is being reviewed.
- Rating: A numerical score between 1 and 5 that quantifies the reviewer's level of satisfaction with their experience.
- Date: The exact calendar date the feedback was posted, facilitating time-series analysis over a span of nearly two decades.
- Review Text: The raw, unstructured text of the patron's review, providing the necessary material for linguistic and sentiment modelling.
Distribution
The information is delivered in a single CSV file titled
Yelp Restaurant Reviews.csv with a file size of 11.26 MB. It contains approximately 19,900 valid records with a 100% validity rate across all columns, ensuring there are no missing or mismatched entries. The dataset maintains a high usability score of 10.00 and is designated as a static archive with no future updates planned.Usage
This resource is ideal for training machine learning models for natural language processing and advanced sentiment classification. It is well-suited for market research aimed at identifying common consumer pain points and tracking brand reputation within the food industry. Analysts can also utilise the records to perform linguistic studies on how digital review culture has changed over 15 years.
Coverage
The geographic scope focuses on restaurants listed on Yelp, representing a variety of establishments including bakeries and cafés. Temporally, the data provides a long-term view from 24 June 2005 through to 2 August 2022. The demographic coverage represents a diverse set of patrons, capturing thousands of individual perspectives on the quality and service of the culinary sector.
License
CC0: Public Domain
Who Can Use It
Data scientists can leverage the structured text and ratings to refine text mining and predictive modelling techniques. Business analysts and restaurant owners may use the feedback to perform competitive benchmarking and identify opportunities for service improvement. Additionally, academic researchers can employ the records to study the digital transformation of word-of-mouth marketing and long-term trends in consumer behaviour.
Dataset Name Suggestions
- Yelp Gastronomy Sentiment: 15-Year Restaurant Review Archive
- United States Restaurant Feedback and Rating Registry
- Historical Yelp Dining Experience and Sentiment Database
- Longitudinal Restaurant Review Text and Rating Collection
- Consumer Sentiment and Linguistic Analysis: Yelp Food Reviews
Attributes
Original Data Source: Historical Yelp Dining Experience and Sentiment Database
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