old_par_fit_LDAs: Parallelised fit_LDAs function + coherence included.

In jpcompartir/JPackage: What the Package Does (One Line, Title Case)

Parallelised fit_LDAs function + coherence included.

Description

Fits multiple LDA models (one for each combination of the supplied parameters) This is generally faster than fit_LDAs, the larger the dataset, the larger the benefit.

Usage

old_par_fit_LDAs(dtms, k_opts = 2:3, iter_opts = 2000, coherence_n = 10)

Arguments

dtms	A nested tibble where each row is a dtm
k_opts	vector of the different values of k to fit an LDA model with (k = number of topics)
iter_opts	NA vector of the different values of iter to fit an LDA model with
coherence_n	Number of words to calculate coherence from

Value

A nested tibble in which each row contains an LDA model.

jpcompartir/JPackage documentation built on March 20, 2023, 4 a.m.