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Renamed base class sentopicmodel to
sentopicsmodel for consistency with the package
name.
Renamed various functions and classes to snake_case style.
mergeTopics() to
merge_topics()topWords() to
top_words()plot_topWords() to
plot_top_words()chainsScores() to
chains_scores()chainsDistances() to
chains_distances()topWords to
top_wordsmultiChains to
multi_chainsCorrected naming of Reverse Joint Sentiment/Topic model (rJST).
To align with this change, internal attributes of
sentopicsmodel objects have been renamed from
reversed to reverse.
Modified names of columns in the PicaultRenault_data
dataset to syntactically valid names.
Removed .sentiment docvars in
ECB_press_conferences dataset.
Fixed a bias in JST and rJST models caused by cached probabilities.
Fixed a labeling error when extracting sentiment time series for rJST models.
PicaultRenault_data dataset not present in the original
paper.sentiment_series(), melt()
dispatch with current data.table versions, and JST
coherence dimension labels.NA when
computeLikelihood = FALSE.grow() to fit() as a more
intuitive name. grow() remains in the package for
compatibility with older version.topWords(..., method="FREX") to the original paper.get_ECB_conferences() to
accommodates changes from the ECB website.seededlda
versions (1.2.0 and subsequent)as.LDA() method for outputs from the
keyATM package.data.table::melt() when
data.table was loaded prior to
sentopicsnCores
argument from grow())LDAvis() that prepare a dynamic
visualization of LDA models using the LDAvis
packageas.tokens.dfm()These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.