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This is fairly readable (high-level) post on word embeddings: http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/ http://colah.github.io/posts/2014-0
by aweinstock 10y ago
This is fairly readable (high-level) post on word embeddings: http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/ http://colah.github.io/posts/2014-07-NLP-RNNs-Representation...
- iraphael 10y agoAnd 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-gram-model/ http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip...
- oelmekki 10y agoThanks :) 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!
- oelmekki 10y agoGreat 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.