I wrote this article in 2008 as a high-level overview about search engines and how they index websites. I wrote this for individuals who wanted to understand on a fundamental level about how search results are presented to the audience. Currently, this information still plays an integral role in our daily lives in a larger capacity, mainly because our lives are so digitally intertwined on multiple screens and multiple sources like work and personal life. A digital footprint (for most individuals) is left whether we want to leave it or not.
Below is a brief overview about Latent Semantic Indexing (LSI) and Natural Language Processing (NLP) that is used to index websites and present data in search engine results pages (SERPs) to the audience.
Historically, search engines used algorithms called Latent Semantic Indexing (LSI) algorithms to present data in the search engine results pages (SERPs). Latent Semantic Indexing looks and records patterns of word distribution (specifically, word co-occurrence) across a set of documents. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. Latent Semantic Indexing considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant.
A newer technology emerged. This technology is called Natural Language Processing (NLP). Natural Language Processing is a sub-field of Artificial Intelligence (AI). Natural Language Processing is the approach to automate classification based on algorithmic complexity, whose purpose is to extract relevant pieces of information from sentences (queried, embedded in files, webpage's, and tags on your personal computer and so on), to present more relevant information back to the user who is performing a query.
In other words, the purpose of either algorithm, Latent Semantic Indexing (LSI) or Natural Language Processing (NLP) is to produce Search Engine Results Pages (SERPs) that are up-to-date and relevant to the user. In laymen's terms, search engine algorithms frequently stir the pot to allow newer sites to appear to a vast and ever changing audience. However, if the site is not properly coded, your chances of visibility exponentially decline.
The answer is unfortunately - as long as it takes. While no one outside of the search engine research laboratories at Goggle, Yahoo, and Bing knows precisely what determines algorithmic search engine positioning, Teknowerkz meticulously review's dozens of criteria before implementing an SEO campaign. This methodical approach is intended to ensure that your website will receive maximum exposure.