Hello friends,

what is latent semantic indexing?

LSI is a "mathematical method used to determine the relationship between terms and concepts in content".

The easiest way to define it is to think about how some keywords are related to your main chosen keywords.

It uses a technique called singular value decomposition to scan unstructured data within documents and identify relationships between the concepts contained therein. In essence, it finds the hidden (latent) relationships between words (semantics) in order to improve information understanding (indexing).

Latent Semantic Indexing (LSI) is a mathematical method used to determine the relationship between terms and concepts in content. The contents of a webpage are crawled by a search engine and the most common words and phrases are collated and identified as the keywords for the page.

LSI keywords or Latent Semantic Indexing are semantically associated with the main keyword that users enter over the search engines.
With the use of LSI keywords, that are linked with the main keywords in terms of relevancy, search engines can identify the semantic structure of the keywords and extract the hidden meaning of the text to bring the most appropriate results on SERPs.

Quote from: johnwiliam on November 09, 2018, 04:37:33 AM
LSI keywords or Latent Semantic Indexing are semantically associated with the main keyword that users enter over the search engines.
With the use of LSI keywords, that are linked with the main keywords in terms of relevancy, search engines can identify the semantic structure of the keywords and extract the hidden meaning of the text to bring the most appropriate results on SERPs.

Thanks for sharing the information