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R/top2vec.R

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#' n_neighbors = 100, n_components = 2, metric = "cosine", umap = tumap,
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#' trace = TRUE)
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#' info <- summary(model, top_n = 7)
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#' data = x
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#' info$topwords
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#' info$topdocs
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#'
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#' ## Change the model: have minimum 200 points for the core elements in the hdbscan density
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#' model <- update(model, type = "hdbscan", minPts = 200, trace = TRUE)
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#' info <- summary(model, top_n = 7)
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#' data = x
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#' info$topwords
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#' info$topdocs
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#' \dontshow{\} # End of main if statement running only if the required packages are installed}

README.md

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## Note
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The package has some hard limits namely
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- Each documents should be smaller than 100 words
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- Each documents should be smaller than 1000 words
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- Each word has a maximum length of 100 letters
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man/top2vec.Rd

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