Friday, November 16, 2018
textmineR version 3 (and up!) is here. This represents a major overhaul. The two most substantive changes are a native implementation of LDA and a more object-oriented take on topic models. The former allows for more flexibility in setting priors and a better Bayesian treatment of model fitting (e.g. averaging over the chain after a pre-determined burn in period). The latter enables a predict method for models, making textmineR's topic models have syntax similar to more traditional models in R. A longer list of changes is below.