Latent Semantic Indexing ( LSI ) & Analysis (LSA) :- Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend to have similar meanings.
LSI content is becoming an increasingly important factor in search engine optimization (SEO). LSI stands for “latent semantic indexing” and it is a method of analyzing the concepts connected with a document or a collection of documents.
Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text
