preText_score_plot: preText specification plot
In preText: Diagnostics to Assess the Effects of Text Preprocessing Decisions

Description Usage Arguments Value Examples

preText plots for each preprocessing specification.

1 2	preText_score_plot(preText_results, display_raw_rankings = FALSE, remove_labels = FALSE, num_docs = NULL, text_size = 1)

`preText_results`	The output from the 'preText_test()' or 'preText()' functions.
`display_raw_rankings`	Logical indicating whether raw ranking differences should be displayed (as opposed to relative differences).
`remove_labels`	Option to remove preprocessing step labels. Defaults to FALSE.
`num_docs`	If display_raw_rankings = TRUE, the number of documents in the corpus.
`text_size`	The 'cex' for text in dot plot generated by function. Defaults to 1.

A plot

## Not run: 
# load the package
library(preText)
# load in the data
data("UK_Manifestos")
# preprocess data
preprocessed_documents <- factorial_preprocessing(
    UK_Manifestos,
    use_ngrams = TRUE,
    infrequent_term_threshold = 0.02,
    verbose = TRUE)
# run preText
preText_results <- preText(
    preprocessed_documents,
    dataset_name = "Inaugural Speeches",
    distance_method = "cosine",
    num_comparisons = 100,
    verbose = TRUE)
# generate preText score plot
preText_score_plot(preText_results)

## End(Not run)