What Is Latent Semantic Indexing?
 

What Is Latent Semantic Indexing?

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.

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

Latent semantic indexing (LSI) is an extension of the vector space model that tries to overcome these deficiencies by incorporating semantic information.

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.

Latent semantic indexing (LSI) is an expansion of the vector space show that tries to conquer these insufficiencies by joining semantic data.

It is a keyword related to your primary keyword which helps you to rank high in SERP.

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.