Does it make sense to use TF-IDF to extract most important tokens from a corpus?
Provided limited information &amp; context you have provided, I would suggest you to look for feature selection when each dimension belongs to a word. Feature selection will give you most important words. Most important words in the sense, words deciding the decision surface of the model.