Feature selection for text classification


I want to do some binary text classification based on a Support Vector machine and a neural network in R.

To do so, I want to select some features (e.g. word2vec word embeddings, glove embeddings, unigrams, bigrams, ...) How can I do that? I have the models but I am not able to create the features.

Best and thanks a lot!

Does something like this help?


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