Estimating text regressions using txtreg_train

Carlo Schwarz

Stata Journal, 2023, vol. 23, issue 3, 799-812

Abstract: In this article, I introduce new commands to estimate text regressions for continuous, binary, and categorical variables based on text strings. The command txtreg_train automatically handles text cleaning, tokenization, model training, and cross-validation for lasso, ridge, elastic-net, and regularized logis- tic regressions. The txtreg_predict command obtains the predictions from the trained text regression model. Furthermore, the txtreg_analyze command facil- itates the analysis of the coefficients of the text regression model. Together, these commands provide a convenient toolbox for researchers to train text regressions. They also allow sharing of pretrained text regression models with other researchers.

Keywords: txtreg_train; txtreg_predict; txtreg_analyze; text regressions; machine learning; text analysis (search for similar items in EconPapers)
Date: 2023
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