Semantic spaces are mathematical constructs used to represent the meanings of words and texts in a multi-dimensional space, enabling semantic relationships, similarities, and context to be modeled and analyzed quantitatively. These spaces are fundamental in natural language processing, providing a framework for algorithms to interpret and generate human language with greater accuracy and nuance.