11–14 of 14 posts
They forgot to run the notebook before uploading the file to github, so there are no results. What a shame. Anyway, this is the 2nd part of a 3 part tutorial. Full setup instructions and the 2 other parts are available here: https://github.com/cytora/pycon-nlp-in-10-lines
Hmm, why isn't the cell output included? Additionally, Jupyter Notebooks on GitHub do not render; instead, you should visit the site of the original post: http://www.cytora.com/insights/2016/11/30/natural-language-p...
Spacy is awesome. The API is clean and powerful. I have been using it heavily over the past few months, using it almost exclusively for feature extraction now. I'm currently working on extracting subject-verb-object tuples, which is amazingly easy to do, because I am finding these to be much more powerful than unigrams or ngrams for classification. Named Entity extraction in Spacy is another killer feature. It's been…
> working on extracting subject-verb-object tuples, which is amazingly easy to do Can you share any of your work or give examples?
They forgot to run the notebook before uploading the file to github, so there are no results. What a shame. Anyway, this is the 2nd part of a 3 part tutorial. Full setup instructions and the 2 other parts are available here: https://github.com/cytora/pycon-nlp-in-10-lines
Output is not included in the notebook. Hope you still like the tutorial.