Scaled Entity Search (SES) represents a major development in Project Arclight experimentation. Unlike traditional keyword searches, SES allows users to submit hundreds or thousands of queries to their corpus simultaneously to see where, when, and how often their query terms

As with any digital humanities work attempting to balance computational analytics with humanistic concerns, the technical process of SES represents only half of the method. This post deals with the remainder of SES: its interpretive framework.