lsemantica: A command for text similarity based on latent semantic analysis

Carlo Schwarz

Stata Journal, 2019, vol. 19, issue 1, 129-142

Abstract: In this article, I present the lsemantica command, which implements latent semantic analysis in Stata. Latent semantic analysis is a machine learning algorithm for word and text similarity comparison and uses truncated singular value decomposition to derive the hidden semantic relationships between words and texts. lsemantica provides a simple command for latent semantic analysis as well as complementary commands for text similarity comparison.

Keywords: lsemantica; machine learning; latent semantic analysis; latent semantic indexing; truncated singular value decomposition; text analysis; text similarity (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1177/1536867X19830910

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