使用pytextrank时Spacy中的值错误(textrank的Python实现)

时间:2017-07-18 23:21:15

标签: python python-2.7 anaconda jupyter-notebook spacy

我使用pytextrank来提取关键字。我使用下面的命令安装了pytextrank和spacy。

pip install pytextrank
pip install -U spacy
python -m spacy download en

这是我的代码

import pytextrank
import sys

path_stage0 = jsonPath
path_stage1 = "data/json/temp/o1.json"

with open(path_stage1, 'w') as f:
    for graf in pytextrank.parse_doc(pytextrank.json_iter(path_stage0)):
        f.write("%s\n" % pytextrank.pretty_print(graf._asdict()))
        # to view output in this notebook
        print(pytextrank.pretty_print(graf))

当我尝试执行此操作时,我得到以下错误

ValueError                                Traceback (most recent call last)
<ipython-input-12-07819fc6acea> in <module>()
  6 
  7 with open(path_stage1, 'w') as f:
  ----> 8     for graf in 
  pytextrank.parse_doc(pytextrank.json_iter(path_stage0)):
  9         f.write("%s\n" % pytextrank.pretty_print(graf._asdict()))
 10         # to view output in this notebook

 /home/sameera/anaconda2/lib/python2.7/site-
 packages/pytextrank/pytextrank.pyc in parse_doc(json_iter)
259                 print("graf_text:", graf_text)
260 
--> 261             grafs, new_base_idx = parse_graf(meta["id"], graf_text, base_idx)
262             base_idx = new_base_idx
263 

/home/sameera/anaconda2/lib/python2.7/site-packages/pytextrank/pytextrank.pyc in parse_graf(doc_id, graf_text, base_idx, spacy_nlp)
193     doc = spacy_nlp(graf_text, parse=True)
194 
--> 195     for span in doc.sents:
196         graf = []
197         digest = hashlib.sha1()

/home/sameera/anaconda2/lib/python2.7/site-packages/spacy/tokens/doc.pyx in __get__ (spacy/tokens/doc.cpp:9664)()
432 
433             if not self.is_parsed:
--> 434                 raise ValueError(
435                     "sentence boundary detection requires the dependency parse, which "
436                     "requires data to be installed. If you haven't done so, run: "

ValueError: sentence boundary detection requires the dependency parse, which 
requires data to be installed. If you haven't done so, run: 
python -m spacy download en
to install the data

我使用的是python 2.7,anaconda 4.3,jupyter笔记本和ubuntu 14.04

2 个答案:

答案 0 :(得分:2)

这可能只是您将代码复制到StackOverflow的错误,但如果不是:

请务必将&#34;下面的所有内容缩进&#34;声明,包括for循环。

基本上:

with open(path_stage1, 'w') as f:
    for graf in pytextrank.parse_doc(pytextrank.json_iter(path_stage0)):
        f.write("%s\n" % pytextrank.pretty_print(graf._asdict()))
        print(pytextrank.pretty_print(graf))

答案 1 :(得分:1)

最好使用requirements.txt包中的pytextrank而不是pip install -U spacy - 因为spaCy正在迅速发展,-U将会安装最新版本。这些更新并不总是向后兼容。

另外,您可以在pytextrank的GitHub回购中发布问题:https://github.com/ceteri/pytextrank/issues

很高兴听到使用方法:)