Usage of singular value decomposition matrix for search latent semantic structures in natural language texts

Abstract

Singular value decomposition is a powerful computational method used to analyze the matrix and which has many applications in various fields. Its essence lies in the expansion of the original matrix as a product of three matrices: two orthogonal and one diagonal. One consequence of this expansion is the possibility of approximating the original matrix… (More)

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