Google LSI Handbook

LSI which stands for Latent Semantic Indexing and LSA which stands for Latent Semantic Analysis are two terms which are essentially used interchangeably, although there is a marked difference in what each term actually means and how the processes involved with it are actually applied to websites and search engine results.

Latent Semantic Analysis or LSA is a technique that is used in natural language processing in order to analyze the relationships that exist between a specific set of documents and the terms that are contained within those documents by producing a concept set that directly relates to both the terms and the documents. When Latent Semantic Analysis or LSA is used in the context for information retrieval applications, Latent Semantic Indexing or LSI is the term that is normally used.

There are a wide variety of different applications which can involve Latent Semantic Indexing or Latent Semantic Analysis, including the comparison of documents within a concept space for document classification and data clustering and locating documents which are similar across different languages after analyzing translated documents through cross language retrieval. Latent Semantic Analysis can also be used in order to find relationships that exist between certain terms through synonymy and polysemy, and can translate a query of terms into a concept space, locating matching documents accordingly through information retrieval. In natural language processing, synonymy and polysemy have become fundamental problems.

Synonymy is a phenomenon that exists when several different words are used in Synonymy is a phenomenon that exists when several different words are used in order to describe the same idea. Therefore, a specific search engine query may actually fail at retrieving relevant documents if they do not contain the words that are contained within the query. Polysemy is a phenomenon that exists when the same word has several different meanings. Therefore, a specific search engine query may retrieve many documents that are irrelevant while still containing the desired words, because they are appearing using the wrong meaning. For example, there are many different types of people who would do a search for the word 'tree', including botanists, genealogists and computer scientists. But obviously the desired results are very different for each individual search.

Latent Semantic Analysis or LSA essentially acts as both a theory and a method for representing and extracting the meanings of words on a contextual-usage basis by way of applying complicated statistical computations to a large body of text.

Master Resale Rights License Terms:

[YES]  You May Sell and Convey Master Resell Rights To This Product.
[YES]  You May Sell and Convey Basic Resell Rights To Your Customers.
[YES]  You May Resell This eBook For Personal Use.
[YES]  You May Add This Product Into A Paid Membership.
[YES]  You May Add This Product Into A Paid Package.

[NO]   You May Not Sell This Product On eBay Or Any Other Auction Site.
[NO]   You May Not Add This Product Into A Free Membership.
[NO]   You May Not Giveaway This Product.
[NO]   You May Not Alter Or Offer Private Label Rights To This Product.