rollinglda-package: rollinglda: Construct Consistent Time Series from Textual...
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rollinglda-package R Documentation
rollinglda: Construct Consistent Time Series from Textual Data
Description
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.
Data
economy Example Dataset (576 articles from Wikinews) for testing.
Constructor
as.RollingLDA RollingLDA objects used in this package.
Getter
getChunks Getter for RollingLDA objects.
Modeling
RollingLDA Performing the method from scratch.
updateRollingLDA Performing updates on RollingLDA objects.
Author(s)
Maintainer: Jonas Rieger jonas.rieger@tu-dortmund.de (ORCID)
References
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 doi: 10.18653/v1/2021.findings-emnlp.201.
See Also
Useful links:
rollinglda documentation built on Oct. 1, 2022, 9:06 a.m.
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| rollinglda-package | R Documentation |
rollinglda: Construct Consistent Time Series from Textual Data
Description
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.
Data
economy Example Dataset (576 articles from Wikinews) for testing.
Constructor
as.RollingLDA RollingLDA objects used in this package.
Getter
getChunks Getter for RollingLDA objects.
Modeling
RollingLDA Performing the method from scratch.
updateRollingLDA Performing updates on RollingLDA objects.
Author(s)
Maintainer: Jonas Rieger jonas.rieger@tu-dortmund.de (ORCID)
References
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 doi: 10.18653/v1/2021.findings-emnlp.201.
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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