  In this study, we aim to identify moments of rudeness between two
individuals. In particular, we segment all occurrences of rudeness in
conversations into three broad, distinct categories and try to identify each.
We show how machine learning algorithms can be used to identify rudeness based
on acoustic and semantic signals extracted from conversations. Furthermore, we
make note of our shortcomings in this task and highlight what makes this
problem inherently difficult. Finally, we provide next steps which are needed
to ensure further success in identifying rudeness in conversations.
