add_negative_terms: Add negative terms to rules

In bakaburg1/BaySREn: BaySREn. An R package to automatise citation collection and screening in Systematic Reviews. Based on Bayesian active machine learning

Add negative terms to rules

Description

Increases rule specificity by adding negative terms iteratively, selecting only terms that remove non-relevant records without impacting the number of positive matches. Usually not used by itself, but inside generate_rule_selection_set().

Usage

add_negative_terms(rules, target_vec, target_data)

Arguments

rules	A vector of rules as produced by extract_rules().
target_vec	A vector of labels.
target_data	A DTM with a number of rows as the elements in rules.

Value

A data frame with a column with the negative terms for each rule, the number of positive and negative matches identified by the negative terms in the target_data and the ID of these records..

pos/neg' = glue('tot_pos/tot_neg'),

bakaburg1/BaySREn documentation built on March 30, 2022, 12:16 a.m.