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I'm using the seededLDA package to do an LDA topic model. However, all of the packages and functions I've found to compute perplexity, log likelihood, exclusivity, etc (and other diagnostic tools) don't work on these models (they only work on topicmodels LDA outputs).

I didn't use topicmodels because I need to use seed words, and I haven't been able to get the seeding function in topicmodels to work.

I really like the look of topicdoc but that only works on topicmodels. So, does anyone know how to:

  • convert the output from textmodel into topicmodels; OR
  • do the diagnostics on textmodel outputs?

Thanks in advance, Daniel

Daniel Casey
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