ChatGPT Users Reviews
ChatGPT Users Reviews
Datasets
ChatGPT Users Reviews
File
ChatGPT Users Reviews
Use Case
ChatGPT Users Reviews
Description
Explore the ChatGPT User Reviews Dataset featuring detailed feedback, ratings, and timestamps. Perfect for sentiment analysis, trend prediction, and AI development with structured insights for product improvement.
Description:
The ChatGPT User Reviews Dataset provides comprehensive user feedback, including textual reviews, ratings (1-5), and timestamps. Spanning multiple months, it offers insights into user sentiment trends, satisfaction levels, and behavioral patterns. Ideal for sentiment analysis, trend prediction, and AI development, this dataset is structured to support qualitative and quantitative analysis for product improvement and research.
Download Dataset
The ChatGPT User Reviews Dataset is a comprehensive collection of user feedback, offering invaluable insights into user satisfaction and sentiment trends over time. This dataset is ideal for businesses, researchers, and developers aiming to analyze user behavior, improve AI applications, and understand customer needs.
Dataset Highlights:
Review ID
- Description: A unique identifier assigned to each review for easy reference and tracking.
- Data Type: String (UUID format).
- Example:
6fb93778-651a-4ad1-b5ed-67dd0bd35aac
.
Review Text
- Description: The detailed textual feedback provided by users, ranging from concise comments to elaborate sentiments about the ChatGPT experience.
- Data Type: String.
- Example: “This is a fantastic app! The bot is highly accurate, giving me tips for gaming, studies, and even life.”
Ratings
- Description: User satisfaction ratings on a scale of 1 to 5, reflecting varying levels of user satisfaction with ChatGPT.
- Data Type: Integer.
- Range:
- 1: Lowest satisfaction.
- 5: Highest satisfaction.
- Example:
5
.
Review Date
- Description: The timestamp indicating when the review was submitted, enabling temporal analysis of sentiment trends.
- Data Type: Date-Time.
- Format: MM/DD/YYYY HH:MM.
- Example: 08/15/2025 17:38.
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