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Modalities of Textual Analysis: Exploring British Periodicals

About the Project

How can you identify and explore patterns across millions of documents? In this fellowship, Buchanan Library Fellows will learn state-of-the-art techniques for text mining at scale. Fellows will join an ongoing research project to analyze constellations of information in ProQuest’s British Periodicals collections. In this summer session of the fellowship, students will explore Databricks, a framework for cluster-computing based on Spark. In particular, we will focus on using Databricks SQL to create interactive queries and to compose data-driven dashboards. After completing the fellowship, Fellows will be able to extract information from big data sets in the humanities, social sciences, or other fields with relative ease and confidence. The fellowship can accommodate up to four students. Applications are no longer being accepted.

Mentors

Cliff Anderson; Mark Schoenfield

Fellows