def get_sentences(self): words = en_nl.tokenize(self.text).split() sentences = [] current_sentence = [] for word in words: if word in PUNCTUATION: if len(current_sentence) >= 1: sentences.append(current_sentence) current_sentence = [] else: current_sentence.append(word) sentences.append(current_sentence) return sentences
def extract_concepts_with_negation(text): words = en_nl.tokenize(text).split() return extract_concepts_from_words(words)