This code provides an implementation of clustering text data using the Universal Sentence Encoder (USE) and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. You can provide a list of queries (sentences or words) and it will cluster them for your SEO needs (or other use cases).
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This Node.js tool clusters semantically similar text queries (like SEO keywords) using the Universal Sentence Encoder and DBSCAN. It's designed for SEO professionals to group related search terms, but can be applied to any text clustering task. The project outputs clusters via console, CSV, or text files and is currently in its MVP stage.