Comment Checker is a Python-based tool that analyzes the authenticity of social media comments across platforms like YouTube, Facebook, Instagram, X (Twitter), LinkedIn, and also from CSV inputs.
It applies heuristic rules (not heavy ML) to detect spammy or inauthentic patterns and generates a PDF report with detailed analysis and a pie chart visualization.

• Multi-platform support: YouTube, Facebook, Instagram, X (Twitter), LinkedIn
• CSV file input support
• Heuristic-based scoring for authenticity
• PDF reports with:
  • Pie chart breakdown
  • Detailed comment-wise analysis
• Works even without API keys (demo mode included)

comment_checker.py # Main tool requirements.txt # Python dependencies newconfer.pdf # Research paper about this tool

Clone the repo:

git clone https://github.com/your-username/comment-checker.git
cd comment-checker

Install dependencies:

pip install -r requirements.txt

Run the tool:

python comment_checker.py

Choose from the interactive menu:

• CSV file
• YouTube URL
• Facebook/Instagram/X/LinkedIn URL

• Pie Chart of authenticity distribution
• PDF Report with:
  • Comment-by-comment analysis
  • Heuristic reasoning

For detailed methodology and results, see: confercepaper.pdf()

Salman S B.E. Computer Science and Engineering C Abdul Hakeem College of Engineering and Technology, Tamil Nadu, India

git init
git add .
git commit -m "Initial commit: Comment Checker tool and paper"
git branch -M main
git remote add origin https://github.com/your-username/comment-checker.git
git push -u origin main

MIT License – free to use, modify, and distribute.