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New York City Accommodation Sentiment Data
Education & Learning Analytics
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"No reviews yet"
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About
Detailed user reviews are available for Airbnb listings situated in New York City. The data provides valuable, first-hand accounts concerning the actual experience of staying in these accommodations, allowing insight into the strengths and weaknesses of specific listings. It is an ideal resource for text analysis projects focused on customer sentiment and feedback regarding hospitality services in a major metropolitan area.
Columns
The dataset contains four key attributes, each corresponding to an aspect of the listing review:
- listing_id: The unique identifier associated with the Airbnb listing.
- url: The specific URL linking to the Airbnb listing page (String format).
- review_posted_date: The date when the user submitted the review (String format).
- review: The textual content of the user feedback itself.
Distribution
The primary data file is named
NYC_2021_airbnb_reviews_data1.csv, which is approximately 6.93 MB in size. The dataset consists of 4 columns and features 17.4k valid rows/records, with no missing or mismatched values. The data is static, meaning the expected update frequency is never.Usage
This material is highly useful for various analytical and research endeavours. Ideal applications include studying customer satisfaction with Airbnb properties in New York City, analysing customer expectations, and identifying the most popular features or recurring themes found within the listings' user feedback. It serves as an excellent corpus for natural language processing and text mining.
Coverage
The data is geographically focused exclusively on New York City. The time range of the reviews spans over a decade, starting from the minimum date of 1 April 2009 and extending up to the maximum date of 1 March 2022. The scope covers reviews for various Airbnb accommodations across this period in NYC.
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists and researchers focused on text analysis and natural language processing. Market analysts can use the data to study trends in customer experiences and identify prevailing sentiment within the accommodation industry. Furthermore, individuals planning a trip to New York City may utilise the data to understand others' experiences before booking a specific listing.
Dataset Name Suggestions
- New York City Accommodation Sentiment Data
- Big Apple Airbnb User Feedback
- NYC Review Text Corpus for Research
Attributes
Original Data Source: New York City Accommodation Sentiment Data
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