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Bigram/ngram viz Function

Source: R/explore_functions.R
bigrams_segmentr.Rd

A function for visualizing the relationship between words and terms within each topic

Usage

bigrams_segmentr(
  lda,
  orig_data,
  gamma_threshold = 0.5,
  top_n = 30,
  min_freq = 5
)

Arguments

lda

The LDA object made with fit_LDAs or par_fit_LDAs

orig_data

Data object which was originally used

gamma_threshold

Desired threshold for Bigram Viz, default is 0.75

top_n

How many of the most frequently used terms to include per topic

min_freq

The minimum frequency of any incuded bigram

Value

a ggplot object

Examples

ldas <- SegmentR:::test_data(explore = FALSE)$lda
#> removing stopwords
#> Making DTMs
#> making tuning grid
#> setting up LDAs
ldas <- ldas %>% dplyr::filter(k == 3, freq_cutoff == 1)
data <- ldas$data[[1]]
ldas <- ldas$lda[[1]]
bigrams_segmentr(ldas, data, top_n = 5, min_freq = 2)
#> $topic_1_bigram

#> 
#> $topic_2_bigram

#> 
#> $topic_3_bigram

#>