Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts
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Abstract (arXiv)
Many socio-linguistic cues are used in conversational analysis, such as emotion, sentiment, and dialogue acts. One of the fundamental cues is politeness, which linguistically possesses properties such as social manners useful in conversational analysis. This article presents findings of polite emotional dialogue act associations, where we can correlate the relationships between the socio-linguistic cues. We confirm our hypothesis that the utterances with the emotion classes Anger and Disgust are more likely to be impolite. At the same time, Happiness and Sadness are more likely to be polite. A less expectable phenomenon occurs with dialogue acts Inform and Commissive which contain more polite utterances than Question and Directive. Finally, we conclude on the future work of these findings to extend the learning of social behaviours using politeness.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 28 references that are in the map. First posted on arXiv 5 May 2022.
Builds on
11 of 28 references.
References · 11
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- 2013A Computational Approach to Politeness with Application to Social Factorscited by 104
- 2021Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversationscited by 20
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- 2019EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotatorscited by 5
- 2018Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robotscited by 3
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- 2018Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNscited by 2
- 2021Exploratory evaluation of politeness in human-robot interactioncited by 1
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