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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.
Getting started
Browse package contents
Package details |
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| Author | Jonas Rieger [aut, cre] (<https://orcid.org/0000-0002-0007-4478>) |
| Maintainer | Jonas Rieger <jonas.rieger@tu-dortmund.de> |
| License | GPL (>= 3) |
| Version | 0.1.3 |
| URL | https://github.com/JonasRieger/rollinglda |
| Package repository | View on CRAN |
| Installation |
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