MachineLearningNLP: Apply machine-learning NLP for the given list of findings

In wlktan/LireNLPSystem: LireNLPSystem

Description

This function applies the feature weights stored in the ml_model_coef.xlsx file (one sheet = one model) To a the input feature matrix text.dfm preprocessed using CreateTextFeatures

Usage

MachineLearningNLP(finding.list, text.dfm, regex.df.wide,
  ml_feature_weights, grouping_var = "imageid")

Arguments

finding.list	The vector of string of findings
text.dfm	DFM object of N-grams
regex.df.wide	Regex, negex features
ml_feature_weights	Data frame of feature names and feature weights
grouping_var	Unique identifier of report

Value

A dataframe containing machine-learing predicted probabilities (between 0 and 1) and predicted classes (0 or 1) for each finding in finding.list

Examples

MachineLearningNLP(finding.list, text.dfm, regex.df.wide, grouping_var = "imageid")

wlktan/LireNLPSystem documentation built on May 27, 2019, 12:13 p.m.