def get_spacy(self, doc):
ents = []
for ent in doc.ents:
ents.append(
he.append_ner(ent.text, ent.start_char, ent.end_char,
ent.label_, 'spacy'))
return ents
def get_list(self, doc):
mats = []
for match_id, start, end in self.matcher(doc):
mats.append(
he.append_ner(doc[start:end], start, end,
self.nlp.vocab.strings[match_id], 'list'))
return mats
def get_list(self, doc):
mats = []
for match_id, start, end in self.matcher(doc):
#Convert Start Stop from token level to char level
charStart = doc[start].idx
charEnd = charStart + len(str(doc[start:end]))
mats.append(
he.append_ner(doc[start:end], charStart, charEnd,
self.nlp.vocab.strings[match_id], 'list'))
return mats
def get_rules(self, text):
#TODO: move regex to custom or config
ents = []
## Get error codes
matches = re.finditer(r'\b(((o|0)(x|\*))|(800))\S*', text,
re.IGNORECASE)
for match in matches:
ents.append(
he.append_ner(text[match.span()[0]:match.span()[1]],
match.span()[0],
match.span()[1], 'ERROR CODE', 'regex'))
return ents