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Google Play Plenty of Fish User Feedback
Social Media and Networking
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains user reviews and comments for the Plenty of Fish application, available on the Google Play Store [1]. Plenty of Fish is a Canadian online dating service popular in several countries, including Canada, the United Kingdom, the Republic of Ireland, Australia, New Zealand, Spain, Brazil, and the United States [1]. It operates in nine languages and generates revenue through advertising and premium memberships, which offer enhanced features [1]. This dataset is valuable for understanding user sentiment, feedback, and engagement with the dating service [1].
Columns
The dataset includes the following columns, providing detailed information on each review [1, 2]:
- reviewId: A unique identifier for each user review [1, 2].
- userName: The name of the user who submitted the review [1, 2].
- userImage: A URL pointing to the user's profile image [1, 2].
- content: The textual comment or description provided by the user in their review [1, 2].
- score: The rating given by the user, typically on a scale from 1 to 5 [1-3].
- thumbsUpCount: The number of 'thumbs up' or likes a particular comment has received [1-3].
- reviewCreatedVersion: The version number of the app on which the review was created [1, 2, 4].
- Created At: The date and time when the review was created [1, 2, 4-7].
- replyContent: The response content provided by the company (Plenty of Fish) to the user's comment [1, 2, 8].
- repliedAt: The date and time when the company's reply was posted [1, 2, 8].
Distribution
This dataset is typically provided as a data file, often in CSV format [9]. While the exact number of rows or records for this specific dataset is not explicitly stated in the provided sources, such app review datasets commonly contain a large volume of records, reflecting a broad collection of user feedback over time [3-8].
Usage
This dataset is ideal for a variety of applications, including [10]:
- Sentiment analysis to gauge overall user satisfaction and identify pain points.
- Natural Language Processing (NLP) tasks, such as topic modelling and keyword extraction from user comments.
- User behaviour analysis to understand common complaints, feature requests, and usage patterns.
- Product improvement by providing insights directly from the user base, helping developers prioritise updates.
- Market research to analyse competitor landscapes and identify emerging trends in dating app usage.
Coverage
The dataset primarily focuses on user reviews from the Google Play Store, making its geographic scope global [1, 11]. While Plenty of Fish is popular in specific regions, the dataset itself covers reviews worldwide [1, 11]. The time range for such review datasets can span multiple years, potentially from as early as 2010 up to 2025, capturing evolving user experiences and app updates [4-7]. Specific data availability notes for certain groups or years are not detailed within the provided materials, but the data is derived from general public user reviews.
License
CC-BY-SA
Who Can Use It
This dataset is suitable for a wide range of users, including [1, 10]:
- Data Scientists for developing NLP models and predictive analytics.
- App Developers seeking direct user feedback to inform product development cycles.
- Marketing Analysts for understanding brand perception and identifying areas for campaign focus.
- Academic Researchers studying online dating trends, social media interactions, or user-generated content.
- Business Analysts interested in competitive intelligence and market dynamics within the social networking sector.
Dataset Name Suggestions
- Plenty of Fish Play Store Reviews
- Google Play Plenty of Fish User Feedback
- PoF App Reviews Dataset
- Dating App User Reviews - Plenty of Fish
- Plenty of Fish Mobile App Ratings
Attributes
Original Data Source: Plenty of Fish Google Play Store Reviews
QUALITY