paper link

DESCRIPTION

@@ -4,7 +4,7 @@ Title: Construct Consistent Time Series from Textual Data
 Version: 0.1.0
 Date: 2021-09-01
 Authors@R: person("Jonas", "Rieger", email="[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0007-4478"))
-Description: A rolling version of the Latent Dirichlet Allocation. 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.
+Description: A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <https://www.statistik.tu-dortmund.de/fileadmin/user_upload/Lehrstuehle/IWuS/Forschung/rollinglda.pdf>. 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.
 URL: https://github.com/JonasRieger/rollinglda
 BugReports: https://github.com/JonasRieger/rollinglda/issues
 License: GPL (>= 3)

R/rollinglda-package.R

@@ -26,7 +26,7 @@
 #' Rieger, Jonas, Carsten Jentsch and Jörg Rahnenführer (2021).
 #' "RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct
 #' Consistent Time Series from Textual Data". Accepted for \emph{Findings of EMNLP 2021}.
-#' URL \url{https://github.com/JonasRieger/emnlp2021}.
+#' URL \url{https://www.statistik.tu-dortmund.de/fileadmin/user_upload/Lehrstuehle/IWuS/Forschung/rollinglda.pdf}.
 #'
 #' @import data.table
 #' @import checkmate