Latent Semantic Indexing (LSI) is a unique information retrieval method developed that improves your ability to find applicable information. Using a powerful and fully automatic statistical algorithms LSI can retrieve relevant documents even when they do not share any words with your query — concepts replace keywords to improve retrieval. Latent semantic indexing adds an important step to the document indexing process. 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. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant.

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