rollinglda-package | R Documentation |
RollingLDA is a rolling version of the Latent Dirichlet
Allocation (LDA). 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.
For bug reports and feature requests please use the issue tracker:
https://github.com/JonasRieger/rollinglda/issues. Also have a look at
the (detailed) example at https://github.com/JonasRieger/rollinglda.
economy
Example Dataset (576 articles from Wikinews) for testing.
as.RollingLDA
RollingLDA objects used in this package.
getChunks
Getter for RollingLDA
objects.
RollingLDA
Performing the method from scratch.
updateRollingLDA
Performing updates on RollingLDA
objects.
Maintainer: Jonas Rieger jonas.rieger@tu-dortmund.de (ORCID)
Rieger, Jonas, Carsten Jentsch and Jörg Rahnenführer (2021). "RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data". EMNLP Findings 2021. URL \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18653/v1/2021.findings-emnlp.201")}.
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