2016. Classifying Emotions in Customer Support Dialogues in Social Media. In Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse ...
Sep 13, 2016 · In this paper, we show that, in addition to text based turn features, dialogue features can significantly improve detection of emotions in ...
Classifying Emotions in Customer Support Dialogues in Social Media. WS 2016 · Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, ...
Effective sentiment analysis relies on accurately categorizing positive and negative mentions. To achieve this, it's essential to identify relevant terms that ...
Jun 14, 2024 · Emotion analytics revolutionizes the call center industry by providing deeper insights into customer emotions and agent performance.
Emotion detection involves identifying specific emotional states such as anger, fear, sadness and excitement. This approach may be used to monitor social media ...
Missing: Dialogues | Show results with:Dialogues
This study focuses on emotion recognition on incoming customer calls to call centers, which plays a vital role in customer experience and company satisfaction.
Classifying Emotions in Customer Support Dialogues in Social Media.
puma.ub.uni-stuttgart.de › bibtex
Classifying Emotions in Customer Support Dialogues in Social Media. J. Herzig, G. Feigenblat, M. Shmueli-Scheuer, D. Konopnicki, A. Rafaeli, D. Altman, ...