There is also our package for an extension of word2vec - https://github.com/sbos/AdaGram.jl which has almost the same speed and functionality as original word2vec and may additionally learn vectors corresponding to different meanings of a word.
воскресенье, 1 ноября 2015 г., 12:10:28 UTC+3 пользователь Weijian Zhang написал: > > Hello, > > We just registered Word2Vec.jl v0.0.1 ( > https://github.com/weijianzhang/Word2Vec.jl), a Julia interface to > word2vec. > It takes a text corpus as input and produces the word vectors as output. > > You can see a IJulia notebook demo at: > http://nbviewer.ipython.org/github/weijianzhang/Word2Vec.jl/blob/master/examples/demo.ipynb > > Best wishes, > > Weijian >
