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)
