rollinglda: Construct Consistent Time Series from Textual Data

A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <doi:10.18653/v1/2021.findings-emnlp.201>. 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.

Version:	0.1.3
Depends:	R (≥ 4.0.0), ldaPrototype (≥ 0.3.0)
Imports:	checkmate (≥ 1.8.5), data.table (≥ 1.11.2), lubridate, stats, tosca (≥ 0.2-0), utils
Suggests:	covr, testthat
Published:	2023-11-28
Author:	Jonas Rieger [aut, cre]
Maintainer:	Jonas Rieger <jonas.rieger at tu-dortmund.de>
BugReports:	https://github.com/JonasRieger/rollinglda/issues
License:	GPL (≥ 3)
URL:	https://github.com/JonasRieger/rollinglda
NeedsCompilation:	yes
Citation:	rollinglda citation info
Materials:	README
CRAN checks:	rollinglda results

Documentation:

Reference manual:

rollinglda.pdf

Downloads:

Package source:	rollinglda_0.1.3.tar.gz
Windows binaries:	r-devel: rollinglda_0.1.3.zip, r-release: rollinglda_0.1.3.zip, r-oldrel: rollinglda_0.1.3.zip
macOS binaries:	r-release (arm64): rollinglda_0.1.3.tgz, r-oldrel (arm64): rollinglda_0.1.3.tgz, r-release (x86_64): rollinglda_0.1.3.tgz, r-oldrel (x86_64): rollinglda_0.1.3.tgz
Old sources:	rollinglda archive

Linking:

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