[英]How do I identify an object is of type NLTK Tree and then parse it?
我試圖在標記化消息后從消息中獲取 GPE 位置。
from nltk import ne_chunk
print(ne_chunk(pos_words[0]))
輸出:
Weather/NNP
update/VB
a/DT
cold/JJ
front/NN
from/IN
(GPE Cuba/NNP)
that/WDT
could/MD
pass/VB
over/RP
(PERSON Haiti/NNP))
我想將輸出 Cuba 作為一個字符串。 我怎樣才能訪問它?
編輯:我試圖通過制作位置列表來將提取推廣到數據框。 這是我做的功能。 但是,它將像紐約這樣的多詞位置拆分為 [New, York]
locations = []
for i in range(len(pos_words)):
chunks = ne_chunk(pos_words[i])
for c in chunks:
if isinstance(c, Tree) and c.label() == 'GPE':
# The object is <class 'nltk.tree.Tree'> and label is Geopolitical Entity
locations.extend([w for w,_ in c.leaves()])
return locations
import nltk
from nltk import Tree
text = 'Weather update a cold front from Cuba that could pass over Hatti'
# Tokenize and tag
pos_words = nltk.pos_tag(nltk.word_tokenize(text))
# Named entity chunker
chunks = nltk.ne_chunk(pos_words)
for c in chunks:
if isinstance(c, Tree) and c.label() == 'GPE':
# The object is <class 'nltk.tree.Tree'> and label is Geopolitical Entity
print(' '.join([w for w, _ in c.leaves()]))
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