Topic modeling using tidytext and textmineR package with Latent Dirichlet Allocation (LDA) algorithm.
There are many techniques that are used to obtain topic models, namely: Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Correlated Topic Models (CTM) and TextRank. In this study we will focus to implement LDA algorithm to build topic model with tidytext and textmineR package. Not only building model, we will also evaluate the goodness of fit of the model using some metrics like R-squared or log-likelihood. There's also some metrics like coherence and prevalence to measure the quality of topics.
You can read the published article here https://rpubs.com/jojoecp/643113