Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts

TL;DR

This paper investigates how politeness correlates with emotional states and dialogue acts in daily conversations, revealing patterns such as anger and disgust being impolite, while happiness and sadness tend to be polite.

Contribution

It presents novel insights into the relationship between socio-linguistic cues, politeness, emotion, and dialogue acts in conversational data.

Findings

Anger and Disgust are more likely to be impolite.

Happiness and Sadness are more likely to be polite.

Inform and Commissive acts contain more polite utterances than Question and Directive.

Abstract

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.