found: Work cat.: Spiz, M. Using latent semantic indexing for data deduplication, 2006:p. 5 (latent semantic indexing (LSI) is a method for uncovering the semantics in a body of text in such a way that it is easier to process and search by a computer. It is also called latent semantic analysis (LSA))
found: Latent semantic analysis at CU Boulder, via WWW, Dec. 6, 2006:information (Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. The underlying idea is that the totality of information about all the word contexts in which a given word does and does not appear provides a set of mutual constraints that largely determines the similarity of meaning of words and set of words to each other)
found: LSI : latent semantic indexing Web site, Dec. 6, 2006.
found: Telcordia latent semantic indexing (LSI) demo machine home page, Dec. 6, 2006(Latent Semantic Indexing (LSI) is a novel, patented information retrieval method developed at Telcordia Technologies, Inc. By using statistical algorithms, LSI can retrieve relevant documents even when they do not share any words with a query. LSI uses these statistically derived "concepts" to improve search performance by up to 30%.)
found: Wikipedia, Dec. 6, 2006(Latent semantic analysis (LSA) is a technique in natural language processing, in particular in vectorial semantics, patented in 1988 by Scott Deerwester, Susan Dumais, George Furnas, Richard Harshman, Thomas Landauer, Karen Lochbaum and Lynn Streeter. In the context of its application to information retrieval, it is sometimes called latent semantic indexing (LSI).)
found: Inspec, via Engineering village 2, Dec. 6, 2006(Latent Semantic Analysis (LSA); Latent Semantic Indexing (LSI))
found: Google search, Dec. 7, 2006(239,000 hits for "latent semantic analysis"; 243,000 for "latent semantic indexing")
found: LC database, Dec. 7, 2006(latent semantic analysis)