Latent Semantic Indexing


Latent Semantic Indexing (LSI) is a computer technology developed in the late 1980s to retrieve precise information from large sets of data. The computers use Singular Value Decomposition process to find the correlation between different terms in a seemingly random set of data. LSI allows search engines to understand your content and its context along with your search intent and its relationship to a specific keyword. As search engines can read your content like humans do, using relevant keywords will improve its chances of getting ranked higher in search results.