Latent Semantic Indexing and SEO The words around the words	Visited: 1066 Not rated Rate: Select 1 - Terrible 2 - Poor 3 - Average 4 - Good 5 - Outstanding
by Ben kendall May 26, 2008

This article is about latent semantic indexing and how it relates to SEO. It's about the wordssurrounding the words.

Latent semantic indexing is just another piece of the algorithm, though many sites will significantly shift in rankings due to it. LSI or Latent semantic indexing allows a search engine to determine what a page is about outside of specifically matching search query text. LSI is a search engine Algorithm which is based on LSA or Latent semantic analysis. LSA is a technique in natural language processing, in particular in vectorial semantics.

Latent Semantic Indexing, LSI is a topic that is not well known to Search Engine Optimization executives. Since, the concept is not clear more myths than realities exist. LSI is about words, keywords usage how you place, form sentences using these keywords so that google is able to get an idea what you really want to convey through your web page. This helps to rank for keywords related to the web page not only keywords or keyphrases. Have businesses started making benefits from LSI, niche study of search engine and SERP are required.

An example would be the keyword "Seo" now the LSI algorithm will look for terms that relate such as search engine optimization, website optimization, or optimized website design. This helps to increase relevant search results and decrease search engine spam. So now by just "Keyword Stuffing" the term "Seo" fifty times on a page of non related text won't help rank your website better for that term. It will actually hurt your rankings.

People get worried when they hear about terms such as SEO and LSI, and when they try to find out how to use latent semantic indexing, they get even more worried when they get conflicting messages. On the one hand some say that LSI doesn't exist and therefore can't be used, while others, on the other hand, state that it is critical to your website's success with the search engines.

LSI - Latent Semantic Indexing is a system that develops to search information by improving your ability to find information. LSI can easily retrieve any information using its automatic and powerful statistical algorithms. LSI analyzes the character strings in your web page and compares them to a large database of words, the meanings of which have been defined. LSI or LSA (Latent Semantic Analysis) can be used to determine the difference by means of analysis of the other words in the text.

Now imagine a collection of 1million or 1 billion of docs. A large matrix, hugh? A search engine implementing LSI on such huge matrix will redistribute weights across, too. Then, any small change in just one term provokes a redistribution of weights in the entire matrix because of how the SVD algorithm works. There is no way for SEOs sitting behind a query box to predict such changes. They would need to have access to every doc of the collection and or how other publishers made changes at any given point in time to their own docs.

LSI may be the best thing to happen for search engine results ever. At least for webmasters and website owners who use real content. Simply by writing in a natural manner about your topic you increase search results relevance and have already optimized perfectly. This is much better than trying to get the perfect balance of key terms as in standard Seo practice. Website optimization is best done by really making the webpage's stay on topic. LSI can really help level the playing field if you take the time to understand how to implement it into your copy.

Optimization is the method of improving site position of any website or web page on SERPs (Search engine results pages) which is usually done to increase targeted traffic and business. All successful e-entrepreneurs know the effectiveness, inexpensiveness and value of marketing and promoting your business online. The marketing trend these days leans more in favor of using companies that practice Business Process Outsourcing or BPO.

In fact the principles of LSA to determine the content of web pages were used by a small company called Oingo that changed its name to Applied Semantics who developed a search system to determine the relevance of page content for specific advert placement. They called this Adsense. This company was in turn bought by Google in April, 2003, and Adsense used to replace their own system which was still under development. Adsense, then, was not developed by Google, but purchased by them.

GR Rajesh Kumar is a web and search marketing specialist since 1999. He conducts various workshops and training programs on Search Engine Marketing, Website Design, Website Optimization for beginners as well as professionals. He is based in Mumbai, India.

Your web page content is now analyzed by the statistical mathematical analysis tool known as LSA/LSI and indexed according to the meaning of the words in your text. It goes further than just checking for the excessive use of specific words, and no longer searches only for indices of your stated keywords. LSA informs Google of the true meaning of your text, and you cannot hide this by repetitions of a single key phrase. Let's call it LSI because that's what Google calls it. LSI analyzes the character strings in your text and compares them to a large database of words, the meanings of which have been defined.

Latent Semantic Indexing (or LSI) has become the most recent buzzword among web master communities. There is already a mystique about the term, yet so few seem to understand it's ramifications and the real benefit to any web site owner.

Latent Semantic Indexing (LSI) is a method for extracting related and pertinent data from a vast resource. Literally it means: Latent: a characteristic that is present in an undeveloped or hidden form Semantic: relating to the meaning of words Indexing: a way to highlight a particular trend or condition Therefore LSI is the discovery of trends in the way words are used, and putting those trends to good use in a search context. Historically LSI has been applied with varying success to structured databases, and currently it forms part of the search process for engines such as Google. lsquo;Back in the day' human powered searches were the norm, people collecting and organizing websites that were submitted to them, or that they found. They would add their finds to a directory would be the resource you used to find information.

You can also use the tilde (~) in a Google search for your keyword. While Google does not highlight exactly correct synonyms, it will give you an indication of what vocabulary it regards as being equivalent. If you do that with "locks". Interestingly, when you do it with "canal locks", Google also highlight "narrow". This indicates that if your topic is on canal locks, using the word "narrow".

If you keep in mind that the main purpose of the LSI component of BigDaddy is to detect keyword spamming, and to determine for what search term the page should be indexed, then it should be obvious to you that the sue of contextually related vocabulary will reveal the semantics of your page. Semantics is nothing more than the meaning of the words you are using, and where your keywords could have more than one meaning, you have to make the meaning clear through the use of related text. Nothing more than that.