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Concept Network - Get TextRank nodes

Source: R/03_concept_network.R
fst_cn_nodes.Rd

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"))
#>        lemma   pagerank
#> 1   lyöminen 0.03726201
#> 2  töniminen 0.01468423
#> 3 potkiminen 0.01594663
fst_cn_nodes(cb, edges, 'NOUN, VERB, ADJ, ADV')
#>        lemma   pagerank
#> 1   lyöminen 0.03726201
#> 2  töniminen 0.01468423
#> 3 potkiminen 0.01594663