Changes in version 1.0.0 Breaking changes - Renamed base class sentopicmodel to sentopicsmodel for consistency with the package name. - Renamed various functions and classes to snake_case style. - renamed function mergeTopics() to merge_topics() - renamed function topWords() to top_words() - renamed function plot_topWords() to plot_top_words() - renamed function chainsScores() to chains_scores() - renamed function chainsDistances() to chains_distances() - renamed S3 class topWords to top_words - renamed S3 class multiChains to multi_chains - Corrected 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. Other changes - Reformatted codebase using Air. - Removed a comprehensive assessment from the PicaultRenault_data dataset not present in the original paper. Changes in version 0.7.5 (2025-09-29) - Fixed an example following change in suggested dependency. - Fixed a test following change in suggested dependency. Changes in version 0.7.4 (2024-09-20) - Fixed a test Changes in version 0.7.3 (2024-04-18) - Renamed grow() to fit() as a more intuitive name. grow() remains in the package for compatibility with older version. - Aligned the weight argument and the algorithm of topWords(..., method="FREX") to the original paper. - Fixed the unexported function get_ECB_conferences() to accommodates changes from the ECB website. - Fixed the model conversion from newer seededlda versions (1.2.0 and subsequent) Changes in version 0.7.2 (2023-05-28) - Added as.LDA() method for outputs from the keyATM package. - Fixed conflict with data.table::melt() when data.table was loaded prior to sentopics Changes in version 0.7.1 (2022-05-18) - Small change of a test sometimes failing on other platforms. Changes in version 0.7.0 (2022-05-09) - Improved dependency to older version of R - Added conversions from other packages (lda, topicmodels and stm) - Changed the parallel back-end from doFuture to future.apply (hence removing the nCores argument from grow()) - Added a function LDAvis() that prepare a dynamic visualization of LDA models using the LDAvis package - Reduced vignettes size - Bug fix: Fixed an error in as.tokens.dfm() Changes in version 0.6.2 (2022-03-15) - Bug fix: Corrected an issue with the compilation on newest Linux platforms Changes in version 0.6.1 (2022-03-10) - Various documentation updates Changes in version 0.6.0 - First CRAN release