Improving the extraction of human names with nltk [closed]

Answer 1

I would like to post a brutal and greedy solution here to solve the problem cast by @Enthusiast: get the full name of a person if possible.

The capitalization of the first character in each name is used as a criterion for recognizing PERSON in Spacy. For example, 'jim hoffman' itself won't be recognized as a named entity, while 'Jim Hoffman' will be.

Therefore, if our task is simply picking out persons from a script, we may simply first capitalize the first letter of each word, and then dump it to spacy.

import spacy

def capitalizeWords(text):

  newText = ''

  for sentence in text.split('.'):
    newSentence = ''
    for word in sentence.split():
      newSentence += word+' '
    newText += newSentence+'\n'

  return newText

nlp = spacy.load('en_core_web_md')

doc = nlp(capitalizeWords(rawText))

#......

Note that this approach covers full names at the cost of the increasing of false positives.