Implements a feature set based off of dictionary lookup.
Parameters: 


int : A count of the number of dictionary words in the revision
int : A count of the number of nondictionary words in the revision
int : A count of the number of dictionary words added
int : A count of the number of dictionary words removed
int : A count of the number of nondictionary words added
int : A count of the number of nondictionary words removed
int : The sum of word frequency deltas for dictionary words
int : The sum of word frequency delta increases for dictionary words
int : The sum of word frequency delta decreases for dictionary words
int : The sum of word frequency deltas for nondictionary words
int : The sum of word frequency delta increases for nondictionary words
int : The sum of word frequency delta decreases for nondictionary words
float : The sum of word frequency proportional delta for dictionary words
float : The sum of word frequency proportional delta increases for dictionary words
float : The sum of word frequency proportional delta decreases for dictionary words
float : The sum of word frequency proportional delta for nondictionary words
float : The sum of word frequency proportional delta increase for nondictionary words
float : The sum of word frequency proportional delta decrease for nondictionary words
Implements a feature set based off of a set of regexes applied to strings.
Parameters: 


int : A count of the number of matches found in the text
int : The number of matches added in the edit
int : The number of matches removed in the edit
int : The sum of frequency delta for matched strings
int : The sum of frequency delta increases for matched strings
int : The sum of frequency delta decreases for matched strings
int : The sum of proportional frequency delta for matched strings
int : The sum of proportional frequency delta increases for matched strings
int : The sum of proportional frequency delta decreases for matched strings
Implements a feature set based off of filtering words for stopwords
Parameters: 


int : A count of the number of stopwords in the content
int : A count of the number of nonstopwords in the content
int : A count of stopwords added
int : A count of stopwords removed
int : A count of nonstopwords added
int : A count of nonstopwords removed
int : The sum of word frequency deltas for stopwords
int : The sum of word frequency delta increases for stopwords
int : The sum of word frequency delta decreases for stopwords
int : The sum of word frequency deltas for nonstopwords
int : The sum of word frequency delta increases for nonstopwords
int : The sum of word frequency delta decreases for nonstopwords
float : The sum of proportional word frequency deltas for stopwords
float : The sum of proportional word frequency delta increases for stopwords
float : The sum of proportional word frequency delta decreases for stopwords
float : The sum of proportional word frequency deltas for nonstopwords
float : The sum of proportional word frequency delta increases for nonstopwords
float : The sum of proportional word frequency delta decreases for nonstopwords
Implements a feature set based off of stemmer applied to words.
Parameters: 


int : A count of unique stemmed words.
int : A count of characters in stemmed words.
int : The sum of frequency deltas for stemmed words
int : The sum of frequency delta increases for stemmed words
int : The sum of frequency delta decreases for stemmed words
int : The sum of proportional frequency deltas for stemmed words
int : The sum of proportional frequency delta increases for stemmed words
int : The sum of proportional frequency delta decreases for stemmed words