LSI

LSI that functions as an acronym for 'Latent Semantic Indexing' is defined as a mathematical mechanism that emerged during the later 1980s and serves as an efficient method of information retrieval. The approach used for scanning unstructured data associated with various documents is a particular technique known as 'singular value decomposition,' and thus helps to define the relationships between different types of concepts associated with the data. Thus, the approach is defined as the one that focuses on discovering latent or secret associations between meanings or terms to aid in understanding enhancement, or known as indexing. LSI also helps to understand the essence of the vocabulary used that is limited to the context underlying it. The use of this approach also leads to identifying the different forms of hierarchical categories or sets that help to organize the various concepts and phrases. Initially LSI was used on mostly small sets or groups of different static documents.

With regard to the application of LSI in SEO, it is assumed that the LSI helps in defining and recognizing the various forms of synonyms by the search engines. It follows, therefore, that if a large number of synonyms are used in any text it will allow the search engine to interpret the material in an efficient manner. The search engine 's interpretation of the contents hopefully helps to produce higher ranks for the pages and the target queries.