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JoeZJH / Labeled-LDA-Python

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
MIT License
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common_topic #7

Open nabilariefm-hi opened 2 years ago

nabilariefm-hi commented 2 years ago

Hai Joe, thankyou so much for the coding. I want to ask about common topic. What is the interpretation for that? I really appreciate your answer because right now I'm doing my undergraduate thesis using this code

JoeZJH commented 2 years ago

Hai Joe, thankyou so much for the coding. I want to ask about common topic. What is the interpretation for that? I really appreciate your answer because right now I'm doing my undergraduate thesis using this code

"common_topic" is added to the topics of each document by default, which can ensure that some common words (stop words may not cover all common words) in the document have corresponding topic (i.e. "common_topic").

example of "common words": "is", "a", "this",...

nabilariefm-hi commented 2 years ago

Ahhh i see2, oke thank you so much for the explanation, really appreciate

NahedAbdelgaber commented 11 months ago

Hello Joe, Thank you so much for this implementation. Do you have an interpretation of having the common-topic as the highest value for all the documents? Do you think the model is under fitting?

I trained it using less than 50 short documents.

Thanks a lot!