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- Latent_semantic_indexing abstract "Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend to have similar meanings. A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts.LSI is also an application of correspondence analysis, a multivariate statistical technique developed by Jean-Paul Benzécri in the early 1970s, to a contingency table built from word counts in documents.Called Latent Semantic Indexing because of its ability to correlate semantically related terms that are latent in a collection of text, it was first applied to text at Bell Laboratories in the late 1980s. The method, also called latent semantic analysis (LSA), uncovers the underlying latent semantic structure in the usage of words in a body of text and how it can be used to extract the meaning of the text in response to user queries, commonly referred to as concept searches. Queries, or concept searches, against a set of documents that have undergone LSI will return results that are conceptually similar in meaning to the search criteria even if the results don’t share a specific word or words with the search criteria.".
- Latent_semantic_indexing wikiPageExternalLink Handbook_of_latent_semantic_analysis.html?id=jgVWCuFXePEC&redir_esc=y.
- Latent_semantic_indexing wikiPageExternalLink fsnlp.
- Latent_semantic_indexing wikiPageExternalLink gensim.
- Latent_semantic_indexing wikiPageExternalLink TMG.
- Latent_semantic_indexing wikiPageExternalLink ~lsi.
- Latent_semantic_indexing wikiPageExternalLink book_understanding-search-engines.pdf.
- Latent_semantic_indexing wikiPageExternalLink watch?v=QGd06MTRMHs.
- Latent_semantic_indexing wikiPageID "21109827".
- Latent_semantic_indexing wikiPageRevisionID "605574813".
- Latent_semantic_indexing hasPhotoCollection Latent_semantic_indexing.
- Latent_semantic_indexing subject Category:Information_retrieval.
- Latent_semantic_indexing subject Category:Semantic_Web.
- Latent_semantic_indexing comment "Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend to have similar meanings.".
- Latent_semantic_indexing label "Indexación Semántica Latente".
- Latent_semantic_indexing label "Latent semantic indexing".
- Latent_semantic_indexing label "潜在语义索引".
- Latent_semantic_indexing sameAs Indexación_Semántica_Latente.
- Latent_semantic_indexing sameAs m.05t0zgl.
- Latent_semantic_indexing sameAs Q890676.
- Latent_semantic_indexing sameAs Q890676.
- Latent_semantic_indexing wasDerivedFrom Latent_semantic_indexing?oldid=605574813.
- Latent_semantic_indexing isPrimaryTopicOf Latent_semantic_indexing.