ChatGPT Tweets Analysis

Repository for the advanced machine learning course

• Dataset - ChatGPT Tweets first month of launch

Setup

Python environment

1. Create virtual environment python -m venv env OR create a conda environment with pip installed conda create -n aml pip
2. Activate venv env/Scripts/activate OR activate conda conda activate aml
3. Install python requirements pip install -r requirements.txt

Dataset

1. Go to your kaggle settings, scroll down to API and create a new API Token. This will download a kaggle.json file
2. If you are on a Unix system save this token at ~/.kaggle/kaggle.json, if you are on Windows C:\Users\<win_username>\.kaggle\kaggle.json
3. Activate the environment if not already activated env/Scripts/activate OR conda activate aml
4. Go to src folder cd src
5. Run python data_loader.py

Make changes to the requirements file

After installing or deleting pip packages make sure you add them to the requirements file by running pip freeze > requirements.txt in the project's root folder