For discussions related to modeling, machine learning and deep learning. Related packages include caret, modelr, yardstick, rsample, parsnip, tensorflow, keras, cloudml, and tfestimators.
Is there other methods to use SVM apart from using it in method = "svmLinear" in the train function in caret?
If there are other ways to implement, what are the differences between them and which one is best to use for text classification?
Also for the same implementation why randomForest (ranger) used in method = "rf" in train in caret takes 7hrs to execute whereas the svmLinear method takes only about 10 mins?
No of documents = 2000
No of features = 7000+