Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions R package deepMOU version 0.1.1 Functions providing an easy and intuitive way for fitting and clusters data using the Mixture of Unigrams models by means the Expectation-Maximization algorithm (Nigam, K. et al. (2000). <doi:10.1023/A:1007692713085>), Mixture of Dirichlet-Multinomials estimated by Gradient Descent (Anderlucci, Viroli (2020) <doi:10.1007/s11634-020-00399-3>) and Deep Mixture of Multinomials whose estimates are obtained with Gibbs sampling scheme (Viroli, Anderlucci (2020) <doi:10.1007/s11222-020-09989-9>). There are also functions for graphical representation of clusters obtained. Software Depends: R (>= 3.5.0) Imports: skmeans, extraDistr, dplyr, Rfast, entropy, ggplot2, graphics, MASS Martin D'Ippolito <martinmy69@gmail.com> Comprehensive R Archive Network (CRAN) Martin D'Ippolito [aut, cre], Anderlucci Laura [aut], Cinzia Viroli [aut] GPL-3 2021-03-04 application/tgz https://CRAN.R-project.org/package=deepMOU doi:10.32614/CRAN.package.deepMOU