quanteda.textmodels 0.9.5
- Fixes for compatibility with Matrix 1.4.2.
quanteda.textmodels 0.9.4
- removed
data_dfm_lbgexample as this is already in
quanteda.
quanteda.textmodels 0.9.3
- 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.
quanteda.textmodels 0.9.2
- 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.
quanteda.textmodels 0.9.1
- 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.)
quanteda.textmodels 0.9.0
- First implementation of the package, after splitting these functions
from the quanteda package.