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What is Latent Semantic Indexing?

LSI or Latent Semantic Indexing is a complicated term with a simple explanation. The main concept behind Latent Semantic Indexing is to discover words and phrases that are related in the context of any document or group of documents. Search engines, Internet Marketing Professionals, and Website Designers often use LSI in their day-to-day activities.


Latent Semantic Indexing is the discovery process for finding related terms and phrases. LSI is a mathematical equation that will fold words into a matrix for analysis that will draw out semantically related terms. This equation relies heavily on the context in which any given word is used. For example, if the term “flat tire” is used in a document, some semantically related terms would be: car, vehicle, repair, wheel, tire pressure, and lug nut wrench. You can see that all the words in the list are related to the term “flat tire”.


The Inner Workings of LSI

The actual work of Semantic Indexing is very complicated and can only be performed by computers running specialized software. These computer programs will build a word and document matrix and run a semantic analysis and output the semantically related terms. These related terms are commonly known as LSI terms. These programs can analyze one document or a group of documents, one website or many websites.


How Do Search Engines Use Semantic Indexing?

Search engines, such as Google, use Latent Semantic Indexing as part of their search analysis, when trying to decide what websites will show up in their search results. The goal of every Search Provider is to provide the most relevant results for any query. For example, if a user searches for the term “flat tire”, Google must decide what websites or documents are most relevant and display them in the search results. LSI plays a key role in what is returned on search engine results pages (SERPs).


Why is Latent Semantic Indexing Important to Me?

As teams or individuals create content for the Internet, there is often an overriding goal to have this newly created content found by the search engines. To do this, they need to use the terms that are the most related and relevant to their keyword or phrase. LSIKeywords.com will provide LSI terms that can be used as a guide while creating their website, webpage, or document. If I fix flat tires, I want to be found for flat tire repair in my city or town. My marketing depends on the search engines finding my web content and showing that page in the search results when someone types in the query “flat tire repair AnyTown”.


How to Use This Site

LSIKeywords.com takes all of the complexity out of doing a Latent Semantic analysis. Simply type your keyword or phrase on the home page and hit “submit query”. LSIKeywords.com will begin working on an analysis and produce a list of LSI terms in descending order of importance or relevancy.


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