Classifying Electronic Negotiations Based on Their Communicational Content

Publikations-Art

Kongressbeitrag

Autoren

Michael Körner, Mareike Schoop

Erscheinungsjahr

2017

Veröffentlicht in

Proceedings of the 17th International Conference on Group Decision and Negotiation

Tagungsname

17th International Conference on Group Decision and Negotiation

Tagungsort

Hohenheim

In this paper, we describe an approach to build an automatic classification model that analyzes the communicational content of electronic negotiations and determines whether negotiations ended in impasse or success. In order to do so, we constructed a category scheme that simplifies the exchanged messages based on word lists. Based on semantic lexica, a machine learning model was trained that achieves comparable classification performances compared to recent research on this topic. These models could now be employed in order to proactively evaluate communication in ongoing electronic negotiations and lay a foundation for advisor technologies for e-negotiators.