Hello, I am currently using Parallel LDA in my automatic topic detection workflow. In general it strikes me as really useful and with the right settings it is able to understand given Documents and deduce their topics. However, there is one thing I am not entirely sure I understand correctly.
One of the results I get after running the node is topic weight. How should I interpret this metric? I suspect, that if I use a bunch of 1,000 documents, the maximum weight is 1,000 - is this correct? If so, and one of the topics Parallel LDA detects has weight of 700, does that mean, this certain topic is likely to appear in 700 of the given documents?
Hopefully I understand the concept of the Weight correctly, but if I don’t, could anyone explain it to me better?
Thank you very much,