Open to undergraduate students, the Buchanan Library Fellowship Modalities of Text Mining is seeking additional applicants.
How can you identify and explore patterns across millions of documents? In this fellowship, Library Buchanan 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 Apache Spark, a framework for querying distributed data sets; BaseX, a native XML database; or Netsblox, a block-based programming language. All of the sessions will be online. 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. Contact: Cliff Anderson or 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.