问题
import nltk
from itertools import groupby
def get_continuous_chunks(tagged_sent):
continuous_chunk = []
current_chunk = []
for token, tag in tagged_sent:
if tag != "O":
current_chunk.append((token, tag))
else:
if current_chunk: # if the current chunk is not empty
continuous_chunk.append(current_chunk)
current_chunk = []
# Flush the final current_chunk into the continuous_chunk, if any.
if current_chunk:
continuous_chunk.append(current_chunk)
return continuous_chunk
ne_tagged_sent = [('Rami', 'PERSON'), ('Eid', 'PERSON'), ('is', 'O'), ('studying', 'O'), ('at', 'O'), ('Stony', 'ORGANIZATION'), ('Brook', 'ORGANIZATION'), ('University', 'ORGANIZATION'), ('in', 'O'), ('NY', 'LOCATION')]
named_entities = get_continuous_chunks(ne_tagged_sent)
named_entities = get_continuous_chunks(ne_tagged_sent)
named_entities_str = [" ".join([token for token, tag in ne]) for ne in named_entities]
named_entities_str_tag = [(" ".join([token for token, tag in ne]), ne[0][1]) for ne in named_entities]
def parser(n,string):
for i in named_entities_str_tag[n]:
if i==string:
pass
else:
return i
print named_entities_str_tag
print
I got this output from the above code:
('PERSON ', 'Rami Eid')
('ORGANIZATION', 'Stony Brook University')
('LOCATION ', 'NY')
('PERSON ', 'GuruRaj Bagali')
('ORGANIZATION', 'Christ University')
But I want it should be map like PERSON WITH ORGANIZATION AND LOCATION I want to store it in json format.
回答1:
It's not very clear what ne_tagged_sent list contains (Is there a LOCATION for each PERSON, ORGANIZATION ?), you must clarify it that we could answer your question.
回答2:
You should format your data as a dictionary, each entry corresponds to a person like:
import json
data = {
'Rami Eid':{'job': 'engineer', 'location':'NY'},
'GuruRaj Bagali':{'job': 'professor', 'location': 'NY'}
}
#Save it in a json file
json.dump(data, open('path/to_your_file', 'w')
来源:https://stackoverflow.com/questions/35173045/how-to-store-ner-result-in-json-database