i have created a word2vec model with gensim and am now looking for a way to visualize this.
I have already created a 2D plot, but it is very confusing. Assuming one performs a dimensionality reduction to 3 dimensions, is there a possibility to visualize these data points "interactively" within a jupyter notebook? By interactive I mean that you might be able to navigate through the 3D plot and have a closer look at different points.
Thanks a lot.
TensorBoard a visualization tool for Google's TensorFlow can visualize embeddings in an interactive 3D plot .
If you want to use, you first need to convert the embeddings into the TensorFlow format. Gensim has a tool for that.
python -m gensim.scripts.word2vec2tensor -i you_w2v.txt -o /tmp/my_model_prefix
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