Changes in version 0.9.10 (2025-02-10)                 

  - Removed textmodel_svm() due to #72. We are working with the authors
    of LibLineaR on a fix, at which time we will restore the function to
    the CRAN version of the package.

                 Changes in version 0.9.9 (2024-09-03)                  

  - Fixes namespace issues caused by removing RcppArmadillo from
    quanteda 4.1.0.
  - Fixes extraneous output from the spelling check.

                 Changes in version 0.9.7 (2024-04-11)                  

Fixes the compilation errors caused by changes to the TBB library and
RcppParallel. This version links to quanteda v4.0 that does not rely on
RcppParallel.

Also fixes some minor method class and methods signature issues caught
by the improved CRAN checks in the forthcoming R v4.

                 Changes in version 0.9.6 (2023-03-22)                  

Remedies the problems that led to the package being archived on
Mar 15, 2023, so that it would be restored to CRAN.

  - Remove C++11 specification
  - Fixed compiler warnings appearing in devel versions
  - Fixed URL for large dataset used in vignette
  - Upon resubmission to be restored from the archive, a number of new
    issues were raised that we also addressed: We combed through the
    entire documentation set and have added or improved return value
    descriptions to many functions that had lacked them.

                 Changes in version 0.9.5 (2022-08-29)                  

  - Fixes for compatibility with Matrix 1.4.2.

                 Changes in version 0.9.4 (2021-04-06)                  

  - removed data_dfm_lbgexample as this is already in quanteda.

                 Changes in version 0.9.3 (2021-03-07)                  

  - Fixed textmodel_svm() to default to the "L2-regularized L2-loss
    support vector classification (dual)" model, and added the type
    argument to allow this to be overridden. (#45)
  - Loosened a test tolerance that was causing a text to fail on the
    macM1 platform.

                 Changes in version 0.9.2 (2020-12-11)                  

  - Added a logistic regression classifier, textmodel_lr().
  - Simplified textmodel_svmlin() to implement only the L2-SVM-MFN from
    Sindhwani and Keerthi (2006), and now uses the C++ code natively.

                 Changes in version 0.9.1 (2020-03-13)                  

  - Adds data_corpus_dailnoconf1991 and data_corpus_irishbudget2010
    corpus objects moved from the quanteda package.
  - Adds the Pang and Lee (2004) movie review polarity dataset as
    data_corpus_moviereviews.
  - Fixed a bug in textmodel_nb(x, distribution = "Bernoulli") that
    affected the class conditional probabilities when the number of
    classes was > 2.
  - Doubled the performance of textmodel_nb() - it's now officially the
    fastest implementation in R. (See the vignette.)

                 Changes in version 0.9.0 (2020-02-26)                  

  - First implementation of the package, after splitting these functions
    from the quanteda package.