semantic space

Semantic space is a way to represent words and their meanings as points in a multi-dimensional space. In this conceptual model, words with similar meanings are located closer together, while those with different meanings are farther apart. It helps computers understand relationships between words, such as synonyms or related concepts, by analyzing patterns in large amounts of language data. Think of it like a map where each word has a specific location based on its meaning, allowing for nuanced understanding and processing of language in natural language understanding and AI applications.