Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/

understanding-word-vectors.ipynb

Very nice tutorial!

Thanks, this is great!

awesome! very intuitive explanations

Great tutorial, thanks!

Not sure why I'm getting the following error, working on macOS with Jupyter Lab, Python 2.7 and Spacy 2.0.9:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-2-090b6e832a74> in <module>()
      3 # It creates a list of unique words in the text
      4 tokens = list(set([w.text for w in doc if w.is_alpha]))
----> 5 print nlp.vocab['cheese'].vector

lexeme.pyx in spacy.lexeme.Lexeme.vector.__get__()

ValueError: Word vectors set to length 0. This may be because you don't have a model installed or loaded, or because your model doesn't include word vectors. For more info, see the documentation: 
https://spacy.io/usage/models

@vnhnhm
I was getting the same error. I fixed it by downloading a different language model for spaCy than what the instructions indicated (one that includes vectors). See spaCy documentation here: https://spacy.io/usage/models

So instead of running this from the command line:
python -m spacy download en
. . . and using this command in Jupyter:
nlp = spacy.load('en')

I ran this command in bash:
python -m spacy download en_core_web_md
. . . and did this in Jupyter
nlp = spacy.load('en_core_web_md')

Hope this helps!

This write up is amazing, great work!