The Process of Latent Semantic Indexing
Internet today is like a library with no limits to the information within. But it is highly disorganized, with information that is difficult to access and one where quality and useful content is difficult to find. Search engines assist Internet uses to retrieve relevant and valuable information on any topic they are searching on, by using key words and key phrases to locate the information.
When someone types in a word or string of words as query, search engines use them as key words and retrieve pages with similar keywords, ranking them according to the quality of content and number of times keywords appear in the page. The method is workable but has its drawbacks too. Latent Semantic Indexing presents a quantum leap in search engine information retrieval method, which is more precise and orderly in its systems.
Bhartiweb understands that Latent Semantic Indexing functions more like artificial intelligence using human methods of perception to look for information that is more relevant and complete. First introduced by Google, when it acquired Oingo (known as innovators and leaders in processing and managing content, especially semantic text processing) in 2003, Latent Semantic Indexing is an innovative algorithm that gleans information on websites and organizes them as a human brain would. Oingo has now been renamed as Applied Semantics. Bhartiweb experts keep up with the changes in Google’s crawler program and LSI to include relevant content on your web page and help it rank higher in result pages, whenever a targeted keyword is typed.

