NEWS.md
In koheiw/seededlda: Seeded Sequential LDA for Topic Modeling

Suppress messages from internal functions.
Move quanteda from Depends to Imports.

Fix tests for quanteda v4.2.0.

Fix regression in 1.4.0 on Linux-like OS.

Use configure to link the TBB library on MacOS.
Add adjust_alpha as an experimental argument to optimize alpha automatically.
Add update_model to update terms of existing models to classify documents with unseen words more accurately.

Improve the way to convert std::vector to arma::mat.

Fix C++ code for Armadillo v14.

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

Fix tests on systems when the TBB library is unavailable.

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.

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

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

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

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.

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.

Fix for deprecation in Matrix 1.5-4.

Add data_corpus_moviereviews to the package to reduce dependency.

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.

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).

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

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

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)

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

Implement original LDA estimator using the LDAGibbs++ library

koheiw/seededlda documentation built on Jan. 23, 2025, 3:14 p.m.

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