Split feature counting from feature extraction

[thvitt]

The FeatureGenerator currently implements feature extraction (reading files, tokenization), postprocessing (case sensitivity, ngrams), and the bag-of-words stuff (feature counting, merging into a dataframe).

For some implementations (zeta, chunking, topic modelling?) we need the tokenized data that has not yet been merged into the bag of words model.