如何使用NLP和Python在句子中查找地名? [英] How to find place name inside a sentence using NLP and Python?

问题描述

我有一句话:

firstSentence = "Gnaeus Cornelius Scipio Hispanus expels all Jews from the city of Rome."

我想找到该地点的名称(罗马").

And I want to find the name of the place ("Rome").

我尝试使用地理位置:

from geograpy import extraction

e = extraction.Extractor(text=firstSentence)

e.find_entities()
print (e.places())

但是我收到以下错误:

    raise NotImplementedError("Use label() to access a node label.")
NotImplementedError: Use label() to access a node label.

我也尝试过:

import nltk
tagged = nltk.pos_tag(nltk.word_tokenize(firstSentence))
entities = nltk.chunk.ne_chunk(tagged)
print entities

但收到:

(S
139/CD
  (ORGANIZATION
    BCE/NNP
    Gnaeus/NNP
    Cornelius/NNP
    Scipio/NNP
    Hispanus/NNP)
  expels/VBZ
  all/DT
  Jews/NNS
  from/IN
  the/DT
  city/NN
  of/IN
  (GPE Rome/NNP)
  ./.)

我所有的地方都会是城市或国家/地区.

All of my places are going to be Cities or Countries.

我只需要简单的NLP功能即可在句子中查找位置.我不介意使用任何其他解决方案，只要它能成功.我该怎么做?

I just need simple NLP functionality of finding place within a sentence. I don't mind using any other solution as long it is succeed. How can I do it?

推荐答案

from geotext import GeoText
sentence = " Tokyo is city in Japan "
places = GeoText(sentence)
print places.countries
print places.cities

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