  An outtake from the findnings of a master thesis studying gender bias in
course evaluations through the lense of machine learning and nlp. We use
different methods to examine and explore the data and find differences in what
students write about courses depending on gender of the examiner. Data from
English and Swedish courses are evaluated and compared, in order to capture
more nuance in the gender bias that might be found. Here we present the results
from the work so far, but this is an ongoing project and there is more work to
do.
