Python, NLP, Numpy, Scikit Learn.
sorted(set([self.filter(word) for word in corpus.words()])) def max_words(self): max = 0 for doc in self.fileids(): l = len(self.words(doc)) max = l if l > max else max return max def describe(self, fileids=None, categories=None): started = time() return { 'files': len(self.fileids()), 'paras':