Construct Consistent Time Series from Textual Data

A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <>. 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.


Reference manual

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0.1.1 by Jonas Rieger, a month ago

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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