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LDAvis has this and it's pretty nifty. Lets you adjust the weights of each half of the saliency metric. Along this line, could sort documents based on slider specified saliency instead of topic score.
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## Description
Lately, I have been experiencing a strange + intermittent issue with the table of contents. The open circles used to indicate sections with cells that are pending execution do no…
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We have whole family of issues that are just about the numbering of topics during visualisation:
- numbering confusions
- #79
- #93
- #127
- #185
- #213
- rename topic feature …
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Allow users to specify the format of cuts of the hierarchy. In particular, allow users to export files ready for use with LDAvis.
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Results of unigram LDA model are usually hard to interpret so I am wondering that if you could improve the interpretability by using [a n-grams LDA model](https://people.cs.umass.edu/~mccallum/papers/…
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Apologies for the non `reprex` (due to size), but below is code using example from the `textmineR` package, so it should be reproducible.
Issue: reviewing `model$summary` to for, say, topic 1 `t_1`…
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I'm a very satisfied user of the pyLDAvis framework, but I have two questions regarding its use. First, I wonder how I can get the marginal topic distributions in the form of a table or print (rather …
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Since structure model is the same thing as LDA (with 'documents' being samples, 'topics' as latent populations, and 'words' as genetic markers) we could use some of the ideas in
http://nlp.stanford.ed…
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Hi,
Goal: knit the HTML/CSS/JS/JSON data into a self-contained HTML, much like `htmlwidgets::saveWidget()`
I've tried using `rmarkdown` and `htmlwidgets` to make this work, but no luck; looking…