Latent Semantic Analysis

Latent Semantic Analysis (LSA) is a technique used in natural language processing to understand the meaning behind words in a large collection of text. It works by analyzing patterns of word usage across documents to identify underlying themes or concepts that are not immediately obvious. Essentially, LSA captures the relationships between words and how they co-occur, allowing computers to recognize when different words or phrases relate to the same idea. This helps in tasks like search, recommendation, and text summarization by improving how machines interpret human language beyond just matching keywords.