fst_concept_network: Concept Network - Make Concept Network plot

In finnsurveytext: Analyse Open-Ended Survey Responses in Finnish

Concept Network - Make Concept Network plot

Description

This function takes a string of terms (separated by commas) or a single term and, using 'textrank_keywords()' from 'textrank' package, filters data based on 'pos_filter' and finds words connected to search terms. Then it plots a Concept Network based on the calculated weights of these terms and the frequency of co-occurrences.

Usage

fst_concept_network(
  data,
  concepts,
  threshold = NULL,
  norm = "number_words",
  pos_filter = NULL,
  title = NULL
)

Arguments

data	A dataframe of text in CoNLL-U format, with optional additional columns.
concepts	List of terms to search for, separated by commas.
threshold	A minimum number of occurrences threshold for 'edge' between searched term and other word, default is 'NULL'. Note, the threshold is applied before normalisation.
norm	The method for normalising the data. Valid settings are '"number_words"' (the number of words in the responses), '"number_resp"' (the number of responses), or 'NULL' (raw count returned, default, also used when weights are applied).
pos_filter	List of UPOS tags for inclusion, default is 'NULL' to include all UPOS tags.
title	Optional title for plot, default is 'NULL' and a generic title ("TextRank extracted keyword occurrences") will be used.

Value

Plot of Concept Network.

Examples

data <- fst_child
con <- "kiusata, lyöminen"
pf <- c("NOUN", "VERB", "ADJ", "ADV")
title <- "Bullying Concept Network"
fst_concept_network(data, concepts = con, pos_filter = pf, title = title)

finnsurveytext documentation built on April 4, 2025, 5:07 a.m.