Re:Show HN: 3d Word Vectors with Neural Networks, T-SNE, and...
by sp332 on Thursday November 14, 2013 @06:17PM
(#6736456)
Thanks, but I've tried that and it gives really messy results. For example, every accented character turns into a space, dividing the word into two meaningless pieces.
Edit: it also seems to put the entire article on a single line with no punctuation. But Google's word2vec examples run with each sentence on one line. Wouldn't this make a difference in training?
Edit: it also seems to put the entire article on a single line with no punctuation. But Google's word2vec examples run with each sentence on one line. Wouldn't this make a difference in training?