模块“pytextrank”没有属性“parse_doc”

Question

I am performing a nlp task. I have written the following code. While executing, it is showing the following error. Any suggestion to resolve the error will be helpful. I am having python 3 env in google colab .

# Pytextrank
import pytextrank
import json

# Sample text
sample_text = 'I Like Flipkart. He likes Amazone. she likes Snapdeal. Flipkart and amazone is on top of google search.'

# Create dictionary to feed into json file

file_dic = {"id" : 0,"text" : sample_text}
file_dic = json.dumps(file_dic)
loaded_file_dic = json.loads(file_dic)

# Create test.json and feed file_dic into it.
with open('test.json', 'w') as outfile:
json.dump(loaded_file_dic, outfile)

path_stage0 = "test.json"
path_stage1 = "o1.json"

# Extract keyword using pytextrank
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._asdict()))

I am getting the following error :

  AttributeError                            Traceback (most recent call last)      
  <ipython-input-33-286ce104df34> in <module>()      
       20 # Extract keyword using pytextrank      
       21 with open(path_stage1, 'w') as f:      
  ---> 22   for graf in 
  pytextrank.parse_doc(pytextrank.json_iter(path_stage0)):     
       23     f.write("%s\n" % pytextrank.pretty_print(graf._asdict()))       
       24     print(pytextrank.pretty_print(graf._asdict()))      

      AttributeError: module 'pytextrank' has no attribute 'parse_doc'   

Answer 1

Implementation of TextRank in Python for use in spaCy pipelines

import spacy
import pytextrank
nlp = spacy.load('en_core_web_sm')
tr = pytextrank.TextRank()
nlp.add_pipe(tr.PipelineComponent, name='textrank', last=True)
# Sample text
sample_text = 'I Like Flipkart. He likes Amazone. she likes Snapdeal. Flipkart and amazone is on top of google search.'
#funct
for p in doc._.phrases:
    print(p.text)

Answer 2

PyTextRank 的更新版本简化了调用代码，并使这些步骤变得不必要： https ://spacy.io/universe/project/spacy-pytextrank