While previous scholarship on Blackface has tended to focus on specific cohorts of artists, locations, or performance styles, computational methods make it possible to more effectively grapple with the vast amount of musical material produced during minstrelsy’s heyday. Built on digitized resources from Johns Hopkins’ Lester S. Levy collection, “Blackface and Romance” uses machine learning methods to produce a large-scale analysis of orthographical irregularities within the lyrics of this 30,000+ piece collection of 19th century sheet music—specifically, the faux dialects and irregular spellings used by songwriters to gesture towards race within the Blackface tradition. Employing these tools makes tracking consistencies and divergences in dialect usage possible across a vast swathe of seemingly unconnected publications. This in turn provides the ability to uncover how the language of minstrelsy varied over time, region and subject position, all while enjoying immense and consistent popularity in both music and the cultural discourse at large.
While scholars have long attempted to discern distinct phases within the evolution of Blackface, periodization has always been a topic of substantial debate. By focusing on the relationship between minstrelsy and other discourses within sheet music lyrics, these methods make it possible to point to previously overlooked moments within the evolution of the genre. The implications of this are clearest towards the ends of the 19th century, when gifted Black composers such as Will Marion Cook or Ernest Hogan began to undermine the minstrel tradition from within, modifying long-standing language by linking it to new themes of romance and freedom. Analyzed within the broad linguistic framework of the project, the fuller outlines—and cultural impact—of this revolutionary aesthetic is revealed with a new clarity. Using a set of graphic materials to clearly distill the insights gathered from its computational methods, “Blackface and Romance” aims to both demonstrate the potential of this digitally informed approach to cultural change and to provide new insight into a crucial phenomenon in American history.
