Improving the extraction of human names with nltk [closed]

Answer 1

This worked pretty well for me. I just had to change one line in order for it to run.

    for subtree in sentt.subtrees(filter=lambda t: t.node == 'PERSON'):

needs to be

    for subtree in sentt.subtrees(filter=lambda t: t.label() == 'PERSON'):

There were imperfections in the output (for example it identified "Money Laundering" as a person), but with my data a name database may not be dependable.