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Curated Wine Review Dataset
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a collection of wine reviews and ratings, offering valuable insights into consumer opinions and preferences. It focuses on selected "top picks" from costcowineblog.com, a popular resource for wine enthusiasts. The data was meticulously obtained through web scraping, providing a structured view of wine reviews, their content, publication dates, and the specific type of wine reviewed. This resource is ideal for understanding market trends in the wine industry and for various analytical applications.
Columns
- Review_name: The distinct name given to each review.
- Review_content: The entire text body of the wine review.
- Date_of_review: The date on which the review was published.
- Type_of_wine: The specific category or type of wine being reviewed.
Distribution
The dataset is presented in a tabular format, with each row representing a unique wine review. While an exact row count is not specified, there are 294 unique values for both review names and content, suggesting a collection of 294 individual reviews. Data files are typically provided in CSV format.
Usage
This dataset is highly suitable for a range of applications, including:
- Natural Language Processing (NLP) tasks, such as sentiment analysis or topic modelling on wine reviews.
- Market research to identify popular wine types and consumer sentiments.
- Developing recommendation systems for wine products.
- Analysing trends in wine ratings and consumer feedback over time.
- Understanding the context and significance of wine preferences across different types.
Coverage
The dataset has a global geographic scope. It spans a significant time range, with reviews published between 9th June 2014 and 26th November 2022. The collection includes reviews for a variety of wine types, encompassing French wines, other red wines, and many other categories, reflecting a broad spectrum of reviewed products.
License
CC-BY-SA
Who Can Use It
- Data scientists and analysts interested in NLP and sentiment analysis.
- Wine industry professionals seeking market insights and consumer trends.
- Researchers studying consumer behaviour in the food and beverage sector.
- Academics and students for educational purposes and data analysis projects.
- Wine enthusiasts looking to explore reviews and deepen their understanding of different wines.
Dataset Name Suggestions
- Wine Reviews and Ratings
- Global Wine Review Data
- Costco Wine Blog Reviews
- Curated Wine Review Dataset
- Wine Consumer Feedback
Attributes
Original Data Source: Reviews of best wines
QUALITY