Work

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

Year: 2019

Type: article

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.

Source: The Stata Journal Promoting communications on statistics and Stata

DOI: 10.1177/1536867x19830910

Author: Carlo Schwarz

Institution: University of Warwick

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W2921035136

FWCI: 5.893

Cites: 12

Cited by: 20

Related to: 10