LDAvis
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cpsievert
R package for web-based interactive topic model visualization.
Maybe I don't get how it works, but I am following the example in the package text2vec: ``` library(text2vec) data("movie_review") N = 500 tokens = word_tokenizer(tolower(movie_review$review[1:N])) it = itoken(tokens, ids...
I was using this package's createJSON() function while my topicmodel was for 2 topics and received this error ` Error in stats::cmdscale(dist.mat, k = 2) : 'k' must be in...
Well, the title says it all. I find the intertopic distance map quite useful in demonstrating how diverse (or not) a set of documents may be; but I'd quite like...
I am not sure this is a library issue, if not, I will greatly appreciate any advice. The serVis function does not show French characters correctly, instead shows them as...
Thank you for your answers in advance! The following is an example: library(LDAvis) library(shiny) server
Generated visualization cannot be opened as a local file. It triggers an error, something like > XMLHttpRequest cannot load file. Origin null is not allowed by Access-Control-Allow-Origin The current implementation...
I am trying to embed LDAvis output to Rmarkdown and share the html output just like any other rmarkdown output with intact interactivity. I have tried 2 approaches in rmarkdown...
I noticed that CRAN appears to be 3 versions behind this repo. Is there any reason for that?
I'm wondering if there is any way of accessing which topic is currently selected in the visualization from a RShiny app that LDAVis is embedded in?
