Dealing with the "StanfordTokenizer will be deprecated in version 3.2.5" Warning [closed]

Question

I was testing the StanfordNERTagger using the NLTK wrapper and this warning appeared:

DeprecationWarning: The StanfordTokenizer will be deprecated in version 
3.2.5. Please use nltk.tag.corenlp.CoreNLPPOSTagger or 
nltk.tag.corenlp.CoreNLPNERTagger instead.
super(StanfordNERTagger, self).__init__(*args, **kwargs)

My code looks like this:

from nltk import word_tokenize, pos_tag, ne_chunk
from nltk.tag import StanfordNERTagger

sentence = "Today George went to school and met his friend Peter."

# stanford's NER tagger 3 entity classification
st = StanfordNERTagger('/home/hercules/Desktop/PhD/Tools/stanford-ner-
     2017-06-09/classifiers/english.all.3class.distsim.crf.ser.gz',
     '/home/hercules/Desktop/PhD/Tools/stanford-ner-2017-06-09/stanford-
     ner.jar',
     encoding='utf-8')

tokenized_text = word_tokenize(sentence)
classified_text = st.tag(tokenized_text)

print("Stanford NER tagger:")
print(classified_text)

I tried to use CoreNLPNERTagger but I could not find any examples or documentation. I only found this link: where it gives something like an example in the comments of the class CoreNLPNERTagger(CoreNLPTagger) (I found it by searching the keyword "CoreNLPNERTagger")

I tried to follow that example with no use. I think I should start (if that is the correct term) the coreNLP server first but if is that the case I don't know how.

If anyone got any idea or advice I would be grateful.

Answer 1

Well i found myself working with Stanford POS Tagger recently (got a similar warning) but still the tagger is still working.
The thing is, this is a warning telling you that they will change/remove the StanfordNERTagger class (more information about the warning).
What i advise you to do is to maintain your code with venv or just copy the module (that's what i did) for example in order to keep your nltk module the way it is (avoid updating therefore sticking with this class).
Hope this helps you.