lda2vec-tf
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tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
It will make it easier to understand and use.
To get the import working, change line `from tensorflow.contrib.tensorboard.plugins import projector` to `from tensorboard.plugins import projector` in files model.py and save_embeds.py.
Giving same representaion for every document. Has anyone faced the same problem?
how to train this model with my specific data stored in mysql database ??
Hi, Figure 1 in the paper shows that there first comes document weights, then after a softmax layer, there comes document proportions. But in the loss function, there is no...
After we run the code and get the document embedding how can we use it to predit the embedding of a new unobserved document?
Hi, I tried to visualize the output of your work, sadly it does not work as it needs the embedding file for the visualization, In none of the steps this...
can you give some details what are the expected results and which files we are supposed to run