What AI model is used by DistillerSR Classifiers and AI Tools?

DistillerSR Classifiers use natural language processing (NLP) to learn patterns from reference titles and abstracts, then compares the patterns to human responses to build a model that can be applied to other references.  The model is a support vector machine (SVM) model - a text classification model will be built using response sets completed by reviewers to learn how to classify your references. 

AI Screening (e.g. Preview and Rank) also uses a SVM classifier to make its predictions.