Miscellaneous functions for training and plotting classification and regression models.
LASSO and elastic net regularized generalized linear models.
Sentiment lexicon calibration with the Generalized Word Power methodology.
A fast, flexible, and comprehensive framework for quantitative text analysis in R.
Dictionary-based sentiment analysis.
An integrated framework for textual sentiment time series aggregation and prediction.
A Shiny interface to the R package sentometrics.
Tools for estimating and analyzing various classes of sentiment/topic models.
The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates.
Inverse regression analysis of text.