NLTK Named Entity Recognition with Custom Data

Question

I\'m trying to extract named entities from my text using NLTK. I find that NLTK NER is not very accurate for my purpose and I want to add some more tags of my own as well. I

Answer 1

There are some functions in the nltk.chunk.named_entity module that train a NER tagger. However, they were specifically written for ACE corpus and not totally cleaned up, so one will need to write their own training procedures with those as a reference.

There are also two relatively recent guides (1 2) online detailing the process of using NLTK to train the GMB corpus.

However, as mentioned in answers above, now that many tools are available, one really should not need to resort to NLTK if streamlined training process is desired. Toolkits such as CoreNLP and spaCy do a much better job. As using NLTK is not that much different to writing your own training code from scratch, there is not that much value in doing so. NLTK and OpenNLP can be regarded as somehow belonging to a past era before the explosion of recent progress in NLP.