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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | rollinglda_0.1.4.tar.gz |
417.2 KiB |
0.1.4 |
rolling linux/noble R-4.5 | rollinglda_0.1.4.tar.gz |
417.1 KiB |
0.1.4 |
rolling source/ R- | rollinglda_0.1.4.tar.gz |
248.1 KiB |
0.1.4 |
latest linux/jammy R-4.5 | rollinglda_0.1.4.tar.gz |
417.2 KiB |
0.1.4 |
latest linux/noble R-4.5 | rollinglda_0.1.4.tar.gz |
417.1 KiB |
0.1.4 |
latest source/ R- | rollinglda_0.1.4.tar.gz |
248.1 KiB |
0.1.4 |
2026-04-26 source/ R- | rollinglda_0.1.4.tar.gz |
248.1 KiB |
0.1.4 |
2026-04-23 source/ R- | rollinglda_0.1.4.tar.gz |
248.1 KiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | rollinglda_0.1.4.zip |
423.1 KiB |
0.1.3 |
2025-04-20 source/ R- | rollinglda_0.1.3.tar.gz |
248.0 KiB |