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UK Hotel Sentiment and Topic Analysis Dataset
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
TripAdvisor is designed for uncovering the underlying semantic aspects of online reviews, such as sentiment and sentiment orientation. It contains 6,444 ratings, with each review rated by users on a five-star scale. Researchers and marketers can use this data for an in-depth understanding of customer experiences and feelings, leveraging techniques like joint multi-grain topic sentiment modelling to unlock new insights and make well-informed marketing decisions.
Columns
- S.No.: A unique integer identifier for each review.
- Review: The string text of the customer's review.
- Rating: An integer representing the review's rating on a five-star scale.
Distribution
The dataset is provided in a single CSV file (
b.csv) with a size of 15.09 MB. It contains 20,491 records across 3 columns. There are no missing or mismatched values reported in the data.Usage
Ideal applications for this dataset include analysing customer sentiment, understanding specific aspects driving satisfaction, and building predictive models. Researchers can use it to train text classifiers for sentiment analysis, develop automated review summarisation tools, and identify common topics or complaints. Businesses can use these insights to target marketing campaigns, justify budgets, and improve their services and offerings.
Coverage
The dataset consists of hotel reviews from the popular booking website TripAdvisor. The sources do not specify the geographic scope, demographic details of the reviewers, or the time range over which the reviews were collected.
License
CC0 1.0 Universal (CC0 1.0)
Who Can Use It
- Data Scientists and NLP Researchers: Can use the data to build and train models for sentiment analysis, topic modelling, and predictive analytics based on customer ratings and review text.
- Marketing Professionals: Can analyse review text to gauge customer sentiment, identify key aspects driving satisfaction or dissatisfaction, and inform marketing strategies.
- Hotel and Accommodation Businesses: Can gain insights into their performance, identify areas for service improvement, and understand customer feedback in detail.
Dataset Name Suggestions
- TripAdvisor Hotel Review Sentiment Analysis
- Hotel Customer Review and Rating Data
- Semantic Analysis of TripAdvisor Hotel Reviews
- UK Hotel Sentiment and Topic Analysis Dataset
Attributes
Original Data Source: UK Hotel Sentiment and Topic Analysis Dataset
QUALITY