Changelog

Source: NEWS.md

Changes in v1.3.0

• Add perplexity() to compute perplexity scores of fitted LDA models.
• Improve documentation.

Changes in v1.2.1

CRAN release: 2024-04-11

• Fix tests on systems when the TBB library is unavailable.

Changes in v1.2.0

CRAN release: 2024-04-10

• The RcppParallel package is no longer required as the TBB library in the operating system (Linux and MacOS) or Rtools (Windows) is used.
• Linux and MacOS must have the TBB library to enable parallel computing before installing this package from the source.

Changes in v1.1.1

• Allow alpha and beta to be a vector for asymmetric Dirichlet priors.

Changes in v1.1.0

CRAN release: 2023-07-01

• Remove uniform to simplify the computation of seed word weights.
• Add levels argument to better handle hierarchical dictionaries.

Changes in v1.0.1

CRAN release: 2023-06-12

• Fix the error when textmodel_seqlda() is called.
• Save values in the Array object in double to avoid rounding error (#60).

Changes in v1.0.0

CRAN release: 2023-05-31

• Add auto_iter to textmodel_seededlda() and textmodel_lda() to stop Gibbs sampling automatically before max_iter is reached.
• Add batch_size to textmodel_seededlda() and textmodel_lda() to enable the distributed LDA algorithm for parallel computing.

Changes in v0.9.0

CRAN release: 2023-04-30

• Add the gamma parameter to textmodel_seededlda() and textmodel_lda() for sequential classification.
• Add textmodel_seqlda() as as short cut for textmodel_lda(gamma = 0.5).
• Improve the calculation of weights for seed words.
• Add the regularize argument to divergence() for the regularized topic divergence measure.

Changes in v0.8.4

CRAN release: 2023-03-23

• Fix for deprecation in Matrix 1.5-4.

Changes in v0.8.3

CRAN release: 2023-03-17

• Add data_corpus_moviereviews to the package to reduce dependency.

Changes in v0.8.2

CRAN release: 2022-10-09

• Add min_prob and select to topics() for greater flexibility
• Change the divergence measure from Kullback-Leibler to Jensen-Shannon.
• Add weighted, min_size, select to divergence() for regularized topic divergence scores.

Changes in v0.8.1

CRAN release: 2022-03-28

• Change textmodel_seededlda() to set positive integer values to residual.
• Fix a bug in textmodel_seededlda() that ignores n-grams when concatenator is not “_“.
• Change topics() to return document names.
• Add divergence() to optimize the number of topics or the seed words (#26).

Changes in v0.8.0

CRAN release: 2022-01-07

• Add the model argument to textmodel_lda() to replace predict().

Changes in v0.7.0

• Change the textmodel_seededlda object to save dictionary and related settings (#18)

Changes in v0.6.0

CRAN release: 2021-04-08

• Add predict() to identify topics of unseen documents (#9)
• Allow selecting seed words based on their frequencies using dfm_trim() in textmodel_seededlda() via ... (#8)

Changes in v0.5.1

CRAN release: 2020-12-17

• Change topics() to return factor with NA for empty documents
• Fix a bug in initializing LDA that leads to incorrect phi (#4 and #6)

Changes in v0.5

CRAN release: 2020-09-10

• Implement original LDA estimator using the LDAGibbs++ library