40 research outputs found
Preparation of Microwave Absorbing E-Glass/Epoxy Nanocomposites with Low Content of Binary Carbon Nanofillers
The manageability of empathic (in)accuracy during couples’ conflict: Relationship-protection or self-protection?
Long-Term Complications and Mortality in Young-Onset Diabetes: Type 2 diabetes is more hazardous and lethal than type 1 diabetes
Influence of carbon nanofibers reinforcement on thermal and electrical behavior of polysulfone nanocomposites
Understanding Couple Shared Reality: The Case of Combined Couple Versus Discrepancy Assessments in Understanding Couple Forgiveness
Conversation analysis at work: detection of conflict in competitive discussions through semi-automatic turn-organization analysis
This study proposes a semi-automatic approach aimed at detecting conflict in conversations. The approach is based on statistical techniques capable of identifying turn-organization regularities associated with conflict. The only manual step of the process is the segmentation of the conversations into turns (time intervals during which only one person talks) and overlapping speech segments (time intervals during which several persons talk at the same time). The rest of the process takes place automatically and the results show that conflictual exchanges can be detected with Precision and Recall around 70% (the experiments have been performed over 6 h of political debates). The approach brings two main benefits: the first is the possibility of analyzing potentially large amounts of conversational data with a limited effort, the second is that the model parameters provide indications on what turn-regularities are most likely to account for the presence of conflict