running other model about kate

[hugochan]

Hello @saria85 ,

For running DocNADE, please check out www.dmi.usherb.ca/~larocheh/code/DocNADE.zip.
Run run_w2v.py to train the word2vec model and get document representations.
As for parameters in run_w2v.py, you dot not need docnames.

[un-lock-me]

Hi,

It taking lots of time for running, did you experience the same thing?
Also, it only created two file new_test.libsvm and new_train.libsvm.
which is like a vector then where can I find the clusters of the topics.
Do you have any idea?
Thanks,
:)

[un-lock-me]

Also Im going to have wordclouds visualize my topics, you said that I need to change the list of words in pred.py according to my output
My question is that can I choose any word I like or it should be according to their strength, like choosing the first five highest weight in each topic.

Thanks, ;)

[hugochan]

@saria85 DocNADE takes quite a time to train. Based on the paper, a topic i is visualized by picking the 10 words w with strongest connection W_iw. You might need to dig deeper into the code to fetch the weight matrix.

[hugochan]

You can visualize any word in your vocabulary.