rollinglda: 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.

Package details

AuthorJonas Rieger [aut, cre] (<https://orcid.org/0000-0002-0007-4478>)
MaintainerJonas Rieger <jonas.rieger@tu-dortmund.de>
LicenseGPL (>= 3)
Version0.1.0
URL https://github.com/JonasRieger/rollinglda
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rollinglda")

Try the rollinglda package in your browser

Any scripts or data that you put into this service are public.

rollinglda documentation built on Sept. 8, 2021, 5:07 p.m.