我想从中提取名词 - 形容词对sentence.所以,基本上我想要的东西:
(Mark,sincere) (John,sincere).
from nltk import word_tokenize, pos_tag, ne_chunk
sentence = "Mark and John are sincere employees at Google."
print ne_chunk(pos_tag(word_tokenize(sentence)))
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Spacy的POS标签会更好NLTK.它越来越快.这是你想要做的一个例子
import spacy
nlp = spacy.load('en')
doc = nlp(u'Mark and John are sincere employees at Google.')
noun_adj_pairs = []
for i,token in enumerate(doc):
if token.pos_ not in ('NOUN','PROPN'):
continue
for j in range(i+1,len(doc)):
if doc[j].pos_ == 'ADJ':
noun_adj_pairs.append((token,doc[j]))
break
noun_adj_pairs
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产量
[(Mark, sincere), (John, sincere)]
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