Re:Natural Language Processing in Python
by acosmism on Tuesday December 02, 2014 @07:17PM
(#8691040)
Agreed. I too had given a tutorial on this a while back (https://www.youtube.com/watch?v=kKe4M4iSclc) and nltk is a quick way to prototype up something neat,but yes- if you need more than "toy" functionality, there are currently better tools for the job.
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Re:Natural Language Processing in Python
by ehurrell on Wednesday December 03, 2014 @04:03AM
(#8692604)
Seconding the power of NLTK for prototyping, it's very easy to build something quickly to test an approach on your data, and at least in my experience, designed in such a way that I could easily replace elements with my own code.
Thanks for the talk, I enjoyed the video. Do you have any good pointers to building a named entity extractor with NLTK?
Re:Natural Language Processing in Python
by acosmism on Wednesday December 03, 2014 @07:14PM
(#8697178)
Thank you, I'm glad you you enjoyed it - I hope to have one on more advanced topics at some point. If you are looking for a named entity extractor sample, I have a sample from my talk on github: https://github.com/shanbady/NLTK-Boston-Python-Meetup/blob/m...
The sample uses the built-in named entity tagger but nltk also has support for leveraging the Stanford named entity tagger: http://www.nltk.org/api/nltk.tag.html#module-nltk.tag.stanfo...