Reddit Post Analyzer – GPT & Open Source Approaches
This project consists of two Jupyter notebooks that demonstrate different methods for analyzing Reddit post data:
- Day 1:
Day1_RedditAnalysis_gpt.ipynb– Uses GPT-based sentiment and insight extraction from Reddit posts and comments. - Day 2:
day2_RedditAnalysis_opensource.ipynb– Implements an open-source alternative for Reddit data processing and basic sentiment/thematic analysis.
📌 Features
- Reddit post and comment scraping using PRAW
- GPT-based sentiment summarization and insight structuring (Day 1)
- Open-source sentiment and thematic analysis pipeline (Day 2)
- Markdown-formatted output suitable for reporting
🛠️ Setup Instructions
Reddit API Credentials Setup
To access Reddit data, you need to create a Reddit app and obtain credentials:
Steps to Get Your Reddit API Keys:
- Go to https://www.reddit.com/prefs/apps.
- Scroll to the bottom and click “create another app” or “create app”.
- Choose the “script” option.
- Fill in the following fields:
- name: e.g., Reddit Analyzer
- redirect uri:
http://localhost:8080 - description: (optional)
- After creating the app, you will get:
- client ID (displayed under the app name)
- client secret
- Keep note of your Reddit username and password (these are used with script apps)
Store your credentials in a .env file:
Create a .env file in the root directory with the following format:
REDDIT_CLIENT_ID=your_client_id
REDDIT_CLIENT_SECRET=your_client_secret
REDDIT_USER_AGENT=your_custom_user_agent
REDDIT_USERNAME=your_reddit_username
REDDIT_PASSWORD=your_reddit_password
These will be securely loaded into your script using the dotenv package.
🚀 Running the Notebooks
Make sure to activate your virtual environment (if applicable), install dependencies, and run the notebooks cell by cell in Jupyter Lab or VS Code.