calc_similarity: Calculate Similarities

In cutterkom/kabrutils: Utility functions for my projects

Calculate Similarities

Description

This functions compute similarities between entries in a document frequency matrix dfm() and return a dataframe with distinct id combinations. It heavily relies on the quanteda package

Usage

calc_similarity(data, method, min_sim)

Arguments

data	data as a document frequency matrix dfm() with a set doc_id
method	character; the method identifying the similarity or distance measure to be used, see ?quanteda::textstat_simil
min_sim	numeric; a threshold for the similarity values below which similarity values will not be returned; 0.75-0.8 seems reasonable

Value

dataframe containing the two id's and the similarity value

cutterkom/kabrutils documentation built on July 3, 2022, 4:04 p.m.