What is the Latent Semantic Analysis theory?
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Latent Semantic Analysis (LSA) is a theory of meaning and a computational method for extracting meaning from text. It represents documents and words as vectors in a latent semantic space . LSA uses linear algebra to extract dimensions that represent this space, enabling the computation of similarity among terms and documents, categorization, and summarization of large collections of documents . LSA is used in various fields such as linguistics, psychology, cognitive science, education, and information science . It helps in analyzing relationships between concepts by considering the graph structure derived from knowledge bases . LSA is based on single value decomposition (SVD) and collapses multiple terms with the same semantic meaning, allowing for the representation of documents in a lower-dimensional conceptual space . It is a mathematical/statistical approach that discovers hidden concepts between terms and documents, removing irrelevant information and reducing computational time .
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| The paper provides an explanation of Latent Semantic Analysis (LSA) as a mathematical/statistical method for discovering hidden concepts between terms and documents or within a document collection. | |
| The paper provides an explanation of Latent Semantic Analysis (LSA) as a technique that analyzes relationships between documents and terms to discover a lower-dimensional data representation. | |
45 Citations | The paper provides a review of Latent Semantic Analysis (LSA) as a theory of meaning and a method for extracting meaning from text using statistical computations. |
01 Sep 2017 25 Citations | The paper provides an explanation of Latent Semantic Analysis (LSA) as a method for analyzing text and finding hidden relationships between terms and documents in a dataset. |
Related Questions
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