def simple_NER(text):
test = textblob(text)
result = []
for i, word in enumerate(test.tags):
position = i
if word[0].find("AG") > -1 or word[0].find("GmbH") > -1:
named_entity = word[0]
prev_words = test.tags[:position]
prev_words.reverse()
for k in prev_words:
if k[1] in ["NN", "NNP", "JJ"]:
named_entity = k[0] + " " + named_entity
else:
result.append(named_entity)
break
return result
def stanford_ner(text):
blob = textblob(text)
st = NERTagger(r'C:\Users\Andreas\Downloads\stanford-ner-2014-10-26\stanford-ner-2014-10-26\classifiers\hgc_175m_600.crf.ser.gz',
r'C:\Users\Andreas\Downloads\stanford-ner-2014-10-26\stanford-ner-2014-10-26\stanford-ner.jar',
'ISO-8859-1')
return st.tag(blob.words)
