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What is Latent Semantic Indexing (LSI) in NLP? |
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Answer» Latent Semantic Indexing (LSI), ALSO known as Latent Semantic Analysis, is a mathematical method for improving the accuracy of information retrieval. It AIDS in the discovery of hidden(latent) RELATIONSHIPS between words (semantics) by generating a set of various concepts associated with the terms of a phrase in order to increase information comprehension. Singular value decomposition is the NLP technique utilised for this aim. It's best for working with small GROUPS of static documents. |
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