Discursive space with UMAP for tmfast topic models

Construct a 2-dimensional "discursive space" embedding given a tmfast topic model

Usage

# S3 method for tmfast
umap(model, k, ...)

Arguments

model

tmfast object

k

Number of topics

...

Other arguments, passed to umap.matrix()

Value

umap object or tidied dataframe; see umap.matrix() argument df

Examples

umap(fitted, 10, verbose = TRUE)
#> Error in UseMethod("umap"): no applicable method for 'umap' applied to an object of class "function"