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London Hotel Review Price Extremes Analysis
Product Reviews & Feedback
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"No reviews yet"
Free
About
Reviews of London-based hotels, specifically focusing on data extracted for the top 10 most expensive and the 10 least expensive properties in the city. The data serves as a valuable resource for gleaning customer insight within the travel industry, recognizing the significant reliance future customers place on existing reviews for decision making. This dataset was built by scraping a leading travel portal using PromptCloud's internal data extraction solution.
Columns
- Property Name: The designated name of the hotel property. Twenty unique properties are covered, with "The Savoy" and "Mondrian London at Sea Containers" being highly represented.
- Review Rating: The score assigned by the reviewer, ranging from 1 to 5. The mean rating across all records is approximately 4.49.
- Review Title: The heading or title provided by the customer for their feedback. This column contains over 22 thousand unique values.
- Review Text: The full body text or wording left behind by the customer. This field has over 27 thousand unique entries.
- Location Of The Reviewer: The geographic origin of the person writing the review. Note that "NA" is a frequently occurring value.
- Date Of Review: The date on which the review was posted. Dates span a wide range, from early April 2002 to October 2018.
Distribution
The dataset is provided in CSV format and is named
London_hotel_reviews.csv. The file size is 22.85 MB and it contains 6 distinct columns. There are approximately 27.3 thousand valid records in total. The file is structured such that only one value is missing in the 'Location Of The Reviewer' column and one is missing in the 'Date Of Review' column.Usage
This data is ideal for various analytical purposes, including performing sentiment analysis to determine changes in customer feeling over the years. Users may also find trending terms within the reviews, create network graphs of bigrams and trigrams, or investigate whether service quality or location is deemed more important by customers. A key application is finding out how review patterns differ between hotels at the opposing ends of the pricing spectrum.
Coverage
The geographic scope is focused on London, United Kingdom, as all reviewed hotels are London-based. The time range for the reviews is extensive, beginning on 1 April 2002 and concluding on 18 October 2018. The data specifically targets reviews posted for the top 10 most expensive and least expensive hotels in this area.
License
CC BY-SA 4.0
Who Can Use It
Intended users include data scientists focused on Natural Language Processing (NLP) or machine learning projects, market analysts seeking to understand customer sentiment in the hospitality sector, and researchers examining consumer behaviour related to pricing and luxury perception. Hotel operators could also use this data for competitive analysis and service improvement.
Dataset Name Suggestions
- London Hotel Review Price Extremes Analysis
- UK High-Low Price Hotel Reviews Sentiment Data
- London Luxury and Budget Accommodation Feedback
Attributes
Original Data Source: London Hotel Review Price Extremes Analysis
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