Yelp Restaurant Reviews Sentiment Dataset

The Yelp Restaurant Reviews Dataset (Sample Extract) comprises 14,351 individual restaurant review records collected from the official Yelp Open Dataset, designed to support research in sentiment analysis, natural language processing, and customer behaviour analytics. Each record corresponds to a single customer review and integrates mixed data types, including textual content (full review text), numerical attributes (review star rating on a 1–5 scale, overall business rating, and total review count), and categorical metadata (business name, restaurant categories, city, state, and sentiment label). The dataset spans multiple U.S. cities and states, covering the restaurant and food service domain, and includes a pre-labelled sentiment variable (Positive, Neutral, Negative) to facilitate supervised learning tasks. Temporal information is preserved through review timestamps, enabling time-based analysis, while business-level aggregation variables support recommendation systems and reputation modelling studies. The dataset is provided in CSV format, ensuring compatibility with common data science tools and workflows.