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Longitudinal Pinterest Android Reviews
Product Reviews & Feedback
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"No reviews yet"
Free
About
Pinterest is an American image-sharing and social media service designed to enable the saving and discovery of information such as recipes, style, and inspiration using pinboards. This data product serves as a substantial archive of public perception regarding the Pinterest application, containing approximately 1.3 million reviews extracted from the Google Store. It captures user sentiment, ratings, and feedback spanning over a decade, offering valuable resources for extracting trends, identifying application pain points, and conducting natural language processing analysis.
Columns
- index: The numerical index for the record entry.
- review_id: A unique identifier assigned to each specific review (e.g., UUID format).
- pseudo_author_id: An anonymised identifier representing the author of the review.
- author_name: The display name of the user who left the review (most commonly 'A Google user').
- review_text: The actual written content and feedback provided by the user.
- review_rating: The numerical score given by the user, on a scale of 1 to 5.
- review_likes: The number of likes the specific review received from other users.
- author_app_version: The specific version of the Pinterest application that was being reviewed (e.g., 1.0.3).
- review_timestamp: The date and time (UTC) when the review was created.
Distribution
The dataset is structured in a tabular CSV format named
PINTEREST_REVIEWS.csv with a file size of approximately 232.49 MB. It contains exactly 1,296,547 unique records across 9 distinct columns. The data exhibits a 100% validity rate with no mismatched or missing values reported for the primary identifiers.Usage
- Sentiment Analysis: Extract and classify public sentiment to understand user satisfaction levels.
- Trend Analysis: Identify which versions of the app received the most positive or negative feedback.
- Topic Modelling: Use NLP techniques to discover recurring themes and pain points within the application.
- Lifecycle Management: Monitor how public perception has shifted from 2012 through to 2023.
Coverage
- Geographic: Global users of the Pinterest application via the Google Store.
- Time Range: The data covers a wide timeframe from 15 August 2012 to 17 November 2023.
- Demographic: Represents the broad user base of Pinterest's Android application.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training NLP models and sentiment classifiers.
- Product Managers: To analyse feature reception and version stability over time.
- Market Analysts: To research social media application lifecycles and user engagement trends.
- App Developers: To understand common user complaints and feature requests.
Dataset Name Suggestions
- Pinterest Google Store Reviews 2012-2023
- 1.3M Pinterest App User Feedback Records
- Pinterest Sentiment and Ratings Archive
- Longitudinal Pinterest Android Reviews
Attributes
Original Data Source:Longitudinal Pinterest Android Reviews
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