A machine learning specialist is implementing a machine learning model to produce a sentiment given a review. The specialist already extracted TF-IDF values for all the review sentences. There are approximately 10,000 TF-IDF value for each sentence, and this is making the model’s training much harder. Which algorithms should the specialist choose from to reduce the number of features? (Select TWO.)