fst_cn_get_unique_separate: Concept Network- Get unique nodes from separate top n-grams...

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Concept Network- Get unique nodes from separate top n-grams tables

Description

Takes at least two tables of nodes and pagerank (output of 'fst_cn_nodes()') and finds nodes unique to one table.

Usage

fst_cn_get_unique_separate(table1, table2, ...)

Arguments

table1	The first table.
table2	The second table.
...	Any other tables you want to include.

Value

Dataframe of words and whether word is unique or not.

Examples

pos_filter <- c("NOUN", "VERB", "ADJ", "ADV")
e1 <- fst_cn_edges(fst_child, "lyödä", pos_filter = pos_filter)
e2 <- fst_cn_edges(fst_child, "lyöminen", pos_filter = pos_filter)
n1 <- fst_cn_nodes(fst_child, e1)
n2 <- fst_cn_nodes(fst_child, e2)
fst_cn_get_unique_separate(n1, n2)

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