Training on dataset without categories
Hi! I have a corpus of documents without categories, and I would generate topics without adding this kind of information. However, it seems that this code is only oriented to corpus with categories. Is there any straight way to do this?
It supports corpus without categories. If you don't specify "-s" for topicExp.py, it does inference by assuming all documents sharing the same set of topic embeddings, i.e., no category information is used.
Ok, brilliant! So, I don't need to make any changes. I will try and let you know.
Thank you for your prompt reply! :)
By the way, it worked! Thank you! :)