Listed below are options available for you to contact a reference librarian and ask for help with your research.
Charles Greenberg is the original author of this guide, which he updated through July 2019.
The field of cultural analytics has emerged over the past few years, utilizing the tools of high-end computational analysis and data visualization to dissect large scale cultural data sets.
Aggregation of large-scale amounts of information allows data or files to be merged and then outputted into displays that highlight distinctive features such as data points,clusters, and trends.
Data-mining is a term that covers a host of techniques for analyzing digital material by “parameterizing” some feature of information and extracting it.
SOURCE: Burdick, A., Drucker, J., Lunenfeld, P., Pressner, T., & Schnapp, J. (2012). Digital Humanities. Cambridge, MA: Massachuetts Institute of Technology. Retrieved from https://mitpress.mit.edu/books/digitalhumanities