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.

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