Semantic geometry maps abstract concepts into spatial structures, linking meaning to mathematical relationships. Used in AI, linguistics, and data science, it models how ideas cluster or connect. Researchers and engineers benefit by improving search algorithms, natural language understanding, and knowledge graphs, enabling machines to interpret context and relationships more intuitively.
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