NovaNightshade/AndroidAppReviews
The function to read the data is in the first cell of the python notebook: eda.ipynb Data Structure The JSON data is organized as follows: App Names: Top-level keys represent the names of the apps (e.g., "DoorDash", "McDonald's"). -> Score Categories: Under each app, reviews are grouped by score categories (e.g., "1", "2", "3", "4", "5"). -> Review Lists: Each score category contains a list of reviews. ->Review Details: Each review includes: - content: The… See the full description on the dataset page: https://huggingface.co/datasets/NovaNightshade/AndroidAppReviews.
The function to read the data is in the first cell of the python notebook: eda.ipynb
Data Structure The JSON data is organized as follows:
App Names: Top-level keys represent the names of the apps (e.g., "DoorDash", "McDonald's").
-> Score Categories: Under each app, reviews are grouped by score categories (e.g., "1", "2", "3", "4", "5").
-> Review Lists: Each score category contains a list of reviews.
->Review Details: Each review includes:
- content: The text content of the review.
- score: The rating given by the user (1-5).
- date: The date and time the review was posted.