text 0.9.12 Unreleased

New Features

  • In textProjetion and textProjetionPlot it now possible to add points of the aggregated word embeddings in the plot
  • In textProjetion it now possible to manually add words to the plot in order to explore them in the word embedding space.
  • In textProjetion it is possible to add color or remove words that are more frequent on the opposite “side” of its dot product projection.
  • In textProjection with split == quartile, the comparison distribution is now based on the quartile data (rather than the data for mean)

Bug Fixes

  • If any of the tokens to remove is “[CLS]”, subtract 1 on token_id so that it works with layer_aggregation_helper. 0.9.11

text 0.9.11 Unreleased

  • textSimilarityTest is not giving error when using method = unpaired, with unequal number of participants in each group.

New Features

  • textPredictTest function to significance test correlations of different models. 0.9.11

Bug Fixes

  • If any of the tokens to remove is “[CLS]”, subtract 1 on token_id so that it works with layer_aggregation_helper. 0.9.11

text 0.9.10 2020-12-14

This version is now on CRAN.

New Features

  • Adding option to deselect the step_centre and step_scale in training.
  • Cross-validation method in textTrainRegression() and textTrainRandomForrest() have two options cv_folds and validation_split. (0.9.02)
  • Better handling of NA in step_naomit in training.
  • DistilBert model works (0.9.03)

Major changes

Bug Fixes

  • textProjectionPlot() plots words extreme in more than just one feature (i.e., words are now plotted that satisfy, for example, both plot_n_word_extreme and plot_n_word_frequency). (0.9.01)
  • textTrainRegression() and textTrainRandomForest() also have function that select the max evaluation measure results (before only minimum was selected all the time, which, e.g., was correct for rmse but not for r) (0.9.02)
  • removed id_nr in training and predict by using workflows (0.9.02).

Minor changes