Package: rollinglda 0.1.3

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.

Authors:Jonas Rieger [aut, cre]

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Peer review:

Bug tracker:https://github.com/jonasrieger/rollinglda/issues

On CRAN:

consistencylatent-dirichlet-allocationldamodel-selectionreliabilitytext-miningtextdatatopic-modeltopic-modelstopicmodeltopicmodelingtopicmodelling

9 exports 12 stars 1.71 score 83 dependencies 18 scripts 313 downloads

Last updated 10 months agofrom:b249e2a8ef. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:as.RollingLDAgetChunksgetDatesgetDocsgetNamesgetVocabis.RollingLDARollingLDAupdateRollingLDA

Dependencies:askpassbackportsbase64encbase64urlbatchtoolsBBmiscBHbrewcheckmateclicodetoolscolorspacecpp11crayoncurldata.tabledendextenddigestfansifarverfastmapfastmatchfsfuturegenericsggplot2globalsgluegridExtragtablehmshtmltoolshttrisobandISOcodesjsonlitelabelinglatticeldaldaPrototypelifecyclelistenvlubridatemagrittrMASSMatrixmgcvmimemunsellnlmeNLPopensslparallellyparallelMappillarpkgconfigprettyunitsprogressquantedaR6rappdirsRColorBrewerRcpprlangscalesslamSnowballCstopwordsstringistringrsystibbletimechangetmtoscautf8vctrsviridisviridisLiteWikipediRwithrxml2yaml