An Emotional Journey: Detecting Emotion Trajectories in Dutch Customer Service Dialogues

Code

• github.com/hadifar/dutchemotiondetection
  OfficialIn paperpytorch★ 1
• github.com/sofielabat/emotwics-data
  OfficialIn papernone★ 0

Abstract

The ability to track fine-grained emotions in customer service dialogues has many real-world applications, but has not been studied extensively. This paper measures the potential of prediction models on that task, based on a real-world dataset of Dutch Twitter conversations in the domain of customer service. We find that modeling emotion trajectories has a small, but measurable benefit compared to predictions based on isolated turns. The models used in our study are shown to generalize well to different companies and economic sectors.

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