Method and System for Using a Multi-Factorial Analysis to Identify Optimal Annotators for Building a Supervised Machine Learning Model

摘要

A method, system, apparatus, and a computer program product are provided for identifying ground truth annotators by applying statistical analyses to a document corpus and to a plurality of annotator profiles to identify, respectively, corpus complexity attributes for the document corpus and annotator qualification attributes for each candidate annotator which are compared with a matching analysis to identify one or more recommended annotators from the plurality of candidate annotators based on the matching analysis.