Construct Consistent Time Series from Textual Data

A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) < https://www.statistik.tu-dortmund.de/fileadmin/user_upload/Lehrstuehle/IWuS/Forschung/rollinglda.pdf>. 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.


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install.packages("rollinglda")

0.1.1 by Jonas Rieger, a month ago


https://github.com/JonasRieger/rollinglda


Report a bug at https://github.com/JonasRieger/rollinglda/issues


Browse source code at https://github.com/cran/rollinglda


Authors: Jonas Rieger [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports checkmate, data.table, lubridate, stats, tosca, utils

Depends on ldaPrototype

Suggests covr, testthat


See at CRAN