Latent Semantic Indexing (LSI)

Also known as Latent Semantic Analysis (LSA), a technique in text indexing and retrieval that employs Singular Value Decomposition (SVD), a mathematical method, to uncover patterns in the relationships between terms and concepts within an unstructured text corpus. LSI operates on the assumption that words appearing in similar contexts likely share meanings. This method excels in extracting the conceptual content from texts by identifying associations among terms found in analogous contexts. LSI’s strength lies in its ability to discern the underlying semantic structure of a text collection, enhancing the precision of information retrieval and document classification by going beyond mere keyword matching to understand the essence of the text.