Latent semantic Indexing (LSI)
is a process of extracting related words or information from your website
content. This is very interesting topic in Information Retrieval (IR)
System. Top search engines works on the latent
semantic indexing (LSI) based.
Lexical indexing is completely based on Lexical
analysis. Lexical analysis is the processing of
an input which can be a form of sequence of characters which
will be produce as output. A sequence of characters or symbols
called as lexical tokens. A lexical analyzer will
be divided into two stages. First stage is known as a scanner and
second stage is known as an evaluator. The Latent Semantic
Indexing is depending on these two states. LSI based search
engine optimization is much more complex in comparison to normal
search engine optimization. The search engine ranking
for a particular website will have to pass several processes in the latent
semantic indexing based search engine optimization. This process
will contain the occurrence of a keyword in a document and the close
relationship with the other words of the document, flavor of your
website content.
If you're searching in a Latent semantic indexing (LSI)
indexed database then the search engine looks at similar values it
has calculated for every synonyms word and returns the best
matched website that will be the best fit to the query. Because latent
semantic indexing does not require exact matching words for
ranking result.
For LSI based Search Engine Optimization we go through
following process:
-
Categorization of the documents
-
Contextual Explanation from the lexical similar words
-
Conceptual Comparison
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Cross-Lingual Text Analysis
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Content Relationship Discovery
-
Document Summarization
-
Taxonomy Generation
For LSI Search Engine Optimization, just go
through this link to fill the
form.
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