fst_cn_nodes: Concept Network - Get TextRank nodes

In finnsurveytext: Analyse Open-Ended Survey Responses in Finnish

Concept Network - Get TextRank nodes

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' ranks words which are the filtered for those connected to search terms.

Usage

fst_cn_nodes(data, edges, pos_filter = NULL)

Arguments

data	A dataframe of text in CoNLL-U format, with optional additional columns.
edges	Output of 'fst_cn_edges()', dataframe of co-occurrences between two words.
pos_filter	List of UPOS tags for inclusion, default is 'NULL' to include all UPOS tags.

Value

A dataframe containing relevant lemmas and their associated pagerank.

Examples

con <- "kiusata, lyöminen"
cb <- fst_child
edges <- fst_cn_edges(cb, con, pos_filter = c("NOUN", "VERB", "ADJ", "ADV"))
edges2 <- fst_cn_edges(cb, con, pos_filter = 'NOUN, VERB, ADJ, ADV')
fst_cn_nodes(cb, edges, c("NOUN", "VERB", "ADJ", "ADV"))
fst_cn_nodes(cb, edges, 'NOUN, VERB, ADJ, ADV')

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