How to build a keyword clustering tool with Python

Keyword grouping is one of those SEO tasks that sounds simple until you’re staring at a spreadsheet with 12,000 rows and a “group by intent” column you’re filling in by hand. Manual clustering doesn’t scale, and rule-based grouping misses the semantic overlap between phrases that don’t share a single word but clearly belong together. I’ve refactored a keyword clustering script that I developed a few years ago. The framework uses TF-IDF vectorization to generate feature vectors, which are then clustered using HDBSCAN, a density-based clustering algorithm. You can find the script here . The problem with keyword clustering Keyword clustering is…

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