Too Much Food for Thought: Poster

Academic Poster on Machine Learning

Academic Poster on Machine Learning

References:

  1. Ashley, B., Hollows, J., Jones, S. & Taylor, B., 2004. Food & Cultural Studies, London & New York: Routledge.
  2. Evans JA, Aceves P. Machine translation: Mining text for social theory. Annual Review of Sociology. 2016;42:21–50.
  3. Greene, E. & McKaig, A., 2016. Our tagged ingredients data is now on GitHub. New York Times.

Image Credits:

Further Information on Machine Learning in Humanities:

  • Grimmer, J. & Steward, B.M., 2013. Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21, pp.267–297.
  • Lansdall-Welfare, T., Sudhahar, S., Thompson, J., Lewis, J., Find My Past Newspaper Team & Cristiani, N., 2017. Content analysis of 150 years of British periodicals. PNAS, 114(4), pp.E457–E465.
  • Twitter: @KathrynElliott