What is Latent Semantic Indexing?

[HeavenlyBorn]

What is Latent Semantic Indexing?

[shoppingswag]

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.

[sinelogixtech]

Hi Friends,
Latent Semantic Analysis (LSA), also known as Latent Semantic Indexing (LSI) literally means analyzing documents to find the underlying meaning or concepts of those documents. If each word only meant one concept, and each concept was only described by one word, then LSA would be easy since there is a simple mapping from words to concepts.

Unfortunately, this problem is difficult because English has different words that mean the same thing (synonyms), words with multiple meanings, and all sorts of ambiguities that obscure the concepts to the point where even people can have a hard time understanding.

[MVMInfotech18]

Latent semantic indexing "uses word associations to help search engines know more accurately what a page is about." It's essentially an algorithmic principle built into search engines to process synonyms and understand topical relationships between words.

[RH-Calvin]

LSI stands for latent semantic indexing, which is the method that Google and other search engines use to study and compare relationships between different terms and concepts. These keywords can be used to improve SEO traffic and create more visibility and higher rankings in search results.

[BangkokDinning]

Latent semantic indexing (LSI) is a concept used by search engines to discover how a term and content work together to mean the same thing, even if they do not share keywords or synonyms.

[ryanwuk]

What is Latent Semantic Indexing?

LSI keywords are words semantically related to your main keyword. They are words that are often found together with your keyword they share the same context. For example 'apple' and 'itunes' are LSI keywords.

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.

Here are three ways LSI words will improve your SEO:

1.Total Context vs. Keyword Density
2. You Reached Your Limit for Keyword Density
3. Get Found for Keyword Variations