What is semantic clustering?

Semantic clustering is a technique used in natural language processing and data analysis that groups similar items based on their meanings rather than their explicit features. This method typically employs algorithms that analyze the context and relationships between Words or phrases, often utilizing embeddings or vector representations to capture semantic similarity. The goal is to organize data in a way that reflects underlying themes or concepts, enhancing the understanding and retrieval of information. Applications include document classification, recommendation systems, and improving search engines.