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ChatGPT Google Play Reviews
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a daily-updated collection of user reviews and ratings specifically for the ChatGPT Android application. It includes crucial information such as the review text, associated ratings, and the dates when reviews were posted. The dataset also details the relevancy of each review. It serves as a valuable resource for understanding user sentiment, tracking app performance over time, and analysing trends within the AI and Large Language Model (LLM) application landscape.
Columns
- reviewId: A unique identifier assigned to each user review.
- id: An additional, distinct identifier associated with each review.
- userName: The name of the user who submitted the review.
- content: The textual body or comment provided by the user in their review.
- score: The numerical rating given by the user, typically on a scale from 1 to 5, indicating their satisfaction or experience.
- thumbsUpCount: The total number of 'likes' or positive reactions that a particular review has received.
- appVersion: The specific version of the ChatGPT Android application that the user was running when they posted their review.
- reviewDate: The precise date and time at which the user review was originally posted.
Distribution
The dataset is primarily available in a tabular format, typically a CSV file, facilitating easy integration and analysis. It comprises over 637,000 unique reviews, reflecting a substantial volume of user feedback. This dataset is updated on a daily basis, ensuring access to the latest user opinions and rating trends. While the exact file size is not specified, the number of records indicates a considerable volume of data.
Usage
This dataset is ideal for various analytical applications, including:
- Sentiment Analysis: Extracting and understanding user emotions and opinions towards the ChatGPT Android app.
- Natural Language Processing (NLP) Tasks: Training and testing NLP models for text classification, entity recognition, and language generation based on real-world user input.
- App Performance Monitoring: Tracking changes in user ratings and feedback over time to gauge application performance and identify areas for improvement.
- Market Research: Gaining insights into user perception of AI and LLM applications within the mobile market.
- Competitive Analysis: Comparing user feedback for the ChatGPT app against other similar applications.
- Feature Prioritisation: Identifying desired features or common pain points mentioned by users to inform product development.
Coverage
This dataset offers global coverage, collecting reviews from users across the world. The time range for the reviews spans from 25 July 2023 to 30 June 2025. This extensive period allows for longitudinal studies of user sentiment and app evolution. It captures feedback from a diverse demographic of ChatGPT Android app users. Some data points, such as
appVersion, may occasionally have null values.License
CC-BY-NC-SA
Who Can Use It
- Data Scientists and Analysts: For conducting sentiment analysis, topic modelling, and training machine learning models on large volumes of text data.
- App Developers and Product Managers: To understand user feedback, identify bugs, track feature requests, and plan future app enhancements.
- Market Researchers: To assess market trends, consumer behaviour, and the reception of AI-powered applications.
- Academic Researchers: For studies on human-AI interaction, user experience, and public perception of emerging technologies.
- Businesses in the AI/LLM Sector: To perform competitive analysis and inform strategic decisions based on real user feedback.
Dataset Name Suggestions
- ChatGPT Android App Reviews
- Daily ChatGPT Mobile Ratings
- AI App User Feedback Data
- ChatGPT Google Play Reviews
- User Sentiment for ChatGPT App
Attributes
Original Data Source: ChatGPT reviews [DAILY UPDATED]
QUALITY