Modalities of Textual Analysis: Exploring British Periodicals
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. Depending on interest, Fellows will learn to use Databricks, a framework for analyzing datasets on Spark; Rumble, a query engine for exploring semi-structured documents on Spark; and Netsblox, a block-based programming language with robust connections to network-based tools like Stanford’s CoreNLP. 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 ten students. Contact: Cliff Anderson, Mark Schoenfield
The Buchanan Library Fellowship program provides immersive learning experiences that develop career-ready skills and support lifelong learning in undergraduate students. Fellows work in multidisciplinary cohorts on tactical projects for Vanderbilt Libraries over the course of a semester to make library collections more accessible or shed new light on a collection or topic. At the end of the semester, fellows present their work and share their findings with the Vanderbilt community. Fellows are paid $1,000 for their work. Apply Here