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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>.
Getting started
Browse package contents
Package details |
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| Author | Kenneth Wilcox [aut, cre, cph] |
| Maintainer | Kenneth Wilcox <kwilcox3@nd.edu> |
| License | LGPL (>= 3) |
| Version | 2021.1.0 |
| URL | https://github.com/ktw5691/psychtm/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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