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Hotel Guest Experience Reviews
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset comprises guest reviews and ratings for hotels, specifically featuring detailed feedback from visitors to the Hotel Monaco Seattle. It offers insights into customer experiences, highlighting aspects such as staff interactions, room amenities, location advantages, and common issues like parking or noise. This data is valuable for understanding guest satisfaction and identifying key factors influencing hotel performance, enabling sentiment analysis and rating prediction.
Columns
- Review Text: The verbatim textual content submitted by the guest describing their experience.
- Rating: A numerical score provided by the guest, typically on a scale (e.g., 1-5), reflecting their overall satisfaction with the hotel.
Distribution
The dataset is typically provided in a CSV format. While the exact number of rows or records for this specific sample is not specified, it consists of multiple individual hotel guest reviews.
Usage
- Predicting hotel review ratings based on textual content.
- Conducting topic modelling on reviews to identify prevalent themes and common feedback areas.
- Exploring key aspects that contribute to positive or negative hotel experiences.
- Improving hotel services by addressing recurring issues highlighted by guests.
- Understanding customer sentiment towards various hotel features and services.
Coverage
- Geographic Scope: Primarily focused on hotels located in Seattle, USA, specifically featuring reviews for the Hotel Monaco Seattle.
- Time Range: The reviews originate from various periods, with some explicitly mentioning dates such as January 2008. A specific overarching date range for the entire collection is not defined within the provided sample.
- Demographic Scope: Represents feedback from a diverse range of hotel guests.
License
CC-BY
Who Can Use It
- Data scientists and machine learning engineers for developing NLP models, sentiment analysis tools, and predictive analytics.
- Hospitality industry analysts to monitor guest satisfaction, identify operational improvements, and benchmark hotel performance.
- Market researchers interested in consumer behaviour and trends within the travel and accommodation sector.
- Developers building applications that leverage customer feedback for recommendations or insights.
- Researchers studying topics like online reviews, service quality, and customer experience.
Dataset Name Suggestions
- Hotel Guest Experience Reviews
- Seattle Hotel Customer Feedback
- Hotel Monaco Seattle Review Data
- Hospitality Guest Sentiment Dataset
Attributes
Original Data Source: Trip Advisor Hotel Reviews
QUALITY