Visualize word embeddings from rasa nlu in Tensorboard

Hi, i was wondering if there is a way to visualize the word embeddings generated by EmbeddingIntentClassifier component, in Tensorboard. I tried to run this command inside the model dir:

$ tensorboard --logdir ./

But all i see is this:

I don’t understand why it shows numbers instead of the words itself

The current NN architecture in embedding intent classifier doesn’t work at a word embedding level. Each sentence is represented as a Bag of Words representation and that BOW vector is embedded in the network. So you can’t get word level embeddings in this architecture.