ahoho / kd-topic-models Goto Github PK

Hi,

Thanks for releasing your code in this repository! It would be exciting to try the neural topic models with Knowledge Distillation.

I was wondering whether you would like to give a simple example as a guidance, perhaps as a jupyter notebook, so that I can know which file I should run first.

Best wishes

Hi, thank you for this awesome work!

I would like to use KDTM to generate topics and document-topic distribution on a corpus containing 4.4M tweets (each tweet can be considered a document). Can you let me know how I can obtain the document-topic distribution? The closest method I can find to this is save_document_representations(), but I am not sure if it's the same thing.

Also, my dataset does not have any labels, so I wanted to know if labels are a part of the training process or if they are optional.

Thanks in advance!