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Mobile ChatGPT User Feedback
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a collection of user reviews for the ChatGPT mobile application on iOS. It captures valuable user insights and sentiments, making it suitable for understanding customer satisfaction, evaluating app performance, and identifying emerging trends. The data was gathered by scraping ChatGPT reviews from the App Store.
Columns
- date: The date the review was posted.
- title: The heading or title of the user's review.
- review: The full text of the user's review.
- rating: The star rating provided by the user.
Distribution
The dataset is typically provided in a CSV file format. It includes 2058 unique date values and 2257 unique review texts. The reviews span from 18th May 2023 to 25th July 2023. Review counts by period are as follows:
- 18th May 2023 - 25th May 2023: 1,475 reviews
- 25th May 2023 - 1st June 2023: 267 reviews
- 1st June 2023 - 7th June 2023: 117 reviews
- 7th June 2023 - 14th June 2023: 82 reviews
- 14th June 2023 - 21st June 2023: 60 reviews
- 21st June 2023 - 28th June 2023: 59 reviews
- 28th June 2023 - 4th July 2023: 73 reviews
- 4th July 2023 - 11th July 2023: 45 reviews
- 11th July 2023 - 18th July 2023: 57 reviews
- 18th July 2023 - 25th July 2023: 57 reviews
Rating distribution is also available:
- 1.00 - 1.40 stars: 495 reviews
- 1.80 - 2.20 stars: 139 reviews
- 3.00 - 3.40 stars: 220 reviews
- 3.80 - 4.20 stars: 304 reviews
- 4.60 - 5.00 stars: 1,134 reviews
Usage
This dataset is ideal for:
- Sentiment analysis to gauge user emotions and opinions regarding the ChatGPT app.
- Performance evaluation to identify factors contributing to high or low user ratings.
- Pattern identification to uncover recurring themes and common issues in user feedback.
Coverage
The dataset covers reviews globally, spanning a time range from 18th May 2023 to 25th July 2023.
License
CC-BY-NC
Who Can Use It
- Data scientists and analysts for performing sentiment analysis and machine learning tasks on user-generated text.
- App developers and product managers seeking to understand user satisfaction and improve app features based on direct feedback.
- Market researchers for insights into user perceptions of AI applications and large language models.
Dataset Name Suggestions
- ChatGPT iOS App Reviews
- Mobile ChatGPT User Feedback
- App Store ChatGPT Review Data
- iOS App User Sentiment for ChatGPT
Attributes
Original Data Source: ChatGPT App Reviews
QUALITY