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This repository tries to test different implementations of the word2vec model

License: MIT License

Python 83.45% Shell 0.38% C++ 16.17%
gensim tensorflow-inplementation word2vec-model word2vec-tf

word2vec-tf's People

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felipessalvatore avatar lucasmoura avatar thiagolira avatar

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word2vec-tf's Issues

Problem with gensim

After doing some tests, I got a strange result.

gensim perform better than the tf implementation using a Portuguese corpus ("g" stand for gensim and tf stand for tensorflow, the number on the name is the size of the word embedding):

portuguese_score

but changing to an English corpus the gensim model has a score close to 0:

english_score

I don't known why the gensim model is performing so bad when we change language. This is probably a bug in how gensim train the corpus, it should be great if someone address this problem.

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