Description

SAS Visual Text Analytics is a natural language processing (NLP)-based unstructured text analysis platform designed for data analysts. It enables users to analyze the text into words, phrases, punctuation marks and elements, group documents based on themes with unsupervised machine learning, accomplish the score code for distributed processing, identify correlations between words, accomplish the communication outcomes to the stakeholders, visualize self-service data for data exploration, evaluate subsets of rules to determine performance, as well as automate rule generation and deployment. Features include framework management, threshold optimization, language interpretation for textual information (LITI) support, sentiment indicator capability, REST API integration, dashboard capability, drag and drop capability, and workspace optimization.