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Construct Consistent Time Series from Textual Data

RollingLDA is a rolling version of the Latent Dirichlet Allocation. By a sequential approach, it enables the construction of LDA-based time series of topics that are consistent with previous states of LDA models. After an initial modeling, updates can be computed efficiently, allowing for real-time monitoring and detection of events or structural breaks.


Please cite the package using the BibTeX entry, which is obtained by the call citation("rollinglda").



This R package is licensed under the GPLv3. For bug reports (lack of documentation, misleading or wrong documentation, unexpected behaviour, …) and feature requests please use the issue tracker. Pull requests are welcome and will be included at the discretion of the author.


#TBA install.packages("rollinglda")

For the development version use devtools:


(Quick Start) Example