Hello there!

I hope all is well during these difficult times! I was playing with the great quanteda and discovered the nice textmodel_svm classification model. However, contrary to textmodel_nb where there is a little example which reproduces juravsky's toy case, I cannot find anything about textmodel_svm.

Are any additional details available about this function (a quanteda tutorial, a toy example, etc)? What is happening under the hood when using textmodel_svm with dfms? Can we get back the coefficients for each token?

Thanks!