'Finding correlation between LDA topics in python
I have performed LDA modeling for some users’ comments on social media. After generating the documents-topics distribution matrix, I was looking to check if there is a relation between the topics; something like, if a comment includes topic A, then it will most likely contain topic B. I read about correlated topic modeling, but my question is about correlation, is there any type of correlation metric that can be suggested to achieve my objective? any ideas?
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