AI-Powered Keyword Clustering Tool

This tool uses NLP (specifically BERT embeddings) to group keywords into semantically similar clusters. It's ideal for SEO professionals who want to organize large lists of keywords for content siloing, avoiding keyword cannibalization, and improving targeting.

Features

• Uses Sentence Transformers for semantic embeddings
• Clusters using DBSCAN (adjustable sensitivity)
• Outputs a CSV with keyword-cluster mapping

Requirements

• Python 3.8+
• Libraries: sentence-transformers, scikit-learn, pandas

How to Use

1. Clone the repo
2. Install dependencies: pip install -r requirements.txt
3. Place your keywords in data/sample_keywords.csv
4. Run the script: python src/cluster_keywords.py
5. Output saved in data/clustered_keywords.csv

Sample Output

Top queries	cluster
duo	0
duo mobile	0
duo security	1
duo admin	2

Future Improvements

• Add optional visualization
• Allow user to choose clustering method
• Build a simple UI using Gradio or Streamlit