ktw5691/psychtm: Text Mining Methods for Psychological Research

Provides text mining methods for social science research. The package implements estimation, inference, summarization, and goodness-of-fit methods for topic models including Latent Dirichlet Allocation (LDA), supervised LDA, and supervised LDA with covariates using Bayesian Markov Chain Monte Carlo. A description of the key models and estimation methods is available in Wilcox, Jacobucci, Zhang, & Ammerman (2021). <doi:10.31234/osf.io/62tc3>.

install.packages("remotes")
remotes::install_github("ktw5691/psychtm")