1) the first one gets corpus - list of tokenized texts (list of list of words) and returns a dictionary where each word will matched with it frequency in list
2) the second one deletes words with very high and low frequency in input corpus and returns changed corpus
1) the first one gets corpus - list of tokenized texts (list of list of words) and returns a dictionary where each word will matched with it frequency in list 2) the second one deletes words with very high and low frequency in input corpus and returns changed corpus