Thread: What is Latent Semantic Analysis

What is Latent Semantic Analysis? Tell me explain

LSI overcomes two of the most problematic constraints of Boolean keyword queries: multiple words that have similar meanings (synonymy) and words that have more than one meaning (polysemy). Synonymy and polysemy are often the cause of mismatches in the vocabulary used by the authors of documents and the users of information retrieval systems.[3] As a result, Boolean keyword queries often return irrelevant results and miss information that is relevant.

LSI is used by Search engines to find out results for keywords that have nearly same meaning. In older days search engines give results for the queries that exactly match with the pages, now a days using LSI it gives results for pages that have same meaning. For example search engines can give similar results for the keyword "web design delhi" and "web designer delhi".

LSI is an indexing and retrieval method that uses a mathematical technique called singular value decomposition 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. A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts.