ChatGPT Twitter Analysis

This project analyzes Twitter data related to ChatGPT, exploring community interest, sentiment, and topics of discussion.

Project Overview

This analysis was conducted as part of MIS373 - Advanced AI For Business course. It uses Python and Jupyter Notebook to process and analyze a dataset of approximately 50,000 tweets containing the hashtag #chatgpt.

Key Components

1. Data Exploration

   • Analysis of popular hashtags
   • Identification of most active users
   • Examination of most retweeted content

2. Sentiment Analysis

   • Sentiment comparison for OpenAI, Google, and Microsoft

3. Topic Modeling

   • Discovery and interpretation of common topics in ChatGPT discussions

Tools and Technologies

• Python
• Jupyter Notebook
• Libraries: pandas, nltk, sklearn, etc.

How to Use

1. Clone this repository
2. Install required dependencies (list them or include a requirements.txt file)
3. Open the Jupyter Notebook file
4. Run the cells to reproduce the analysis

Results

The key findings have been summarized directly in the code file

Author

Andrew Nguyen

Acknowledgements

• Dataset provided by Gaurav Topre on Kaggle
• Project developed for MIS373 at Deakin University