https://github.com/computingvictor/thread_app_dataset

Analyses and models based on the "Thread app dataset: 37000 entities" Kaggle dataset
https://github.com/computingvictor/thread_app_dataset

data-science dataset eda kaggle

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Analyses and models based on the "Thread app dataset: 37000 entities" Kaggle dataset

• Host: GitHub
• URL: https://github.com/computingvictor/thread_app_dataset
• Owner: ComputingVictor
• License: apache-2.0
• Created: 2023-08-21T08:58:41.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-18T18:57:29.000Z (about 1 year ago)
• Last Synced: 2023-09-19T00:33:00.528Z (about 1 year ago)
• Topics: data-science, dataset, eda, kaggle
• Language: Jupyter Notebook
• Homepage:
• Size: 1.03 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Thread App Dataset Analysis

![image](https://github.com/ComputingVictor/Thread_app_dataset/assets/115224707/77df9d78-2f1e-4911-8e05-81499a8cfd50)

## Description

This repository contains analyses and models based on the "Thread app dataset: 37000 entities," encompassing over 37,000 reviews from the Google Play Store and Apple App Store about the New Thread mobile application.

## Repository Contents

- 1_ExploratoryDataAnalysis.ipynb: Exploratory Data Analysis (EDA) of the dataset, including visualizations and descriptive statistics.

Upcoming Work

- NLP Transformation: Planned transformation and preprocessing of the text contained within the reviews are underway to extract features and prepare the data for modeling.

- Ratings Predictive Analysis: In the upcoming weeks, Machine Learning models, RNNs, and potentially LLM will be implemented to predict user ratings based on the content of their reviews.

## Data Source

The original dataset can be found on Kaggle: [Thread app dataset: 37000 entities](https://www.kaggle.com/datasets/shuvammandal121/37000-reviews-of-thread-app-dataset).

## Contributions

Contributions are welcome! If you have suggestions or wish to collaborate on upcoming phases of the project, feel free to open an issue or submit a pull request.

## License

This project is licensed under the Apache License 2.0. Refer to the LICENSE.md file for details.