def __init__(self, data, remove_stop_word = False, lemmatize = True):
self.sentences = []
self.graph = {}
self.PRI = {}
processor = ProcessData(data,"Stanford", False, lemmatize, remove_stop_word, False)
self.sentences = processor.clean_sentences()
def __init__(self, data):
self.data = []
for sentence in data:
tokens = sent_tokenize(sentence)
for s in tokens:
if s not in self.data:
self.data.append(tokens)
self.sentence_weights = {}
data_processor = ProcessData(data)
self.sentences = data_processor.remove_tags(
data_processor.clean_sentences())
self.probabilities = self._get_probabilities(self.sentences)
