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This is fairly readable (high-level) post on word embeddings: http://colah.github.io/posts/2014-07-NLP-RNNs-Representation...

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And this is one that explains everything OP needs to understand the confusing sentence from their intro:

http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip...

Thanks :) I feel like some key concepts are a bit beyond my reach, but that they are such a small quantity that it can be a good starting point for googling around. Thank for your help!

Great read, thanks!

I know understand what word vectors are and how they are useful (which, btw, allows me to make way more sense of the output of the program in this HN post :D ), plus more generalities about the field.

Anyone in the same position than me (wanting to learn the basics) should read this.

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