# Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data

arXiv: https://arxiv.org/abs/2112.13572 · HTML: https://mlsanity.com/paper/2112.13572/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 17 references that are in the map.
- First posted on arXiv 27 Dec 2021.

## Builds on (most cited first, 9 of 9)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset](https://mlsanity.com/paper/1710.03957/) (2017)
- [A Computational Approach to Politeness with Application to Social Factors](https://mlsanity.com/paper/1306.6078/) (2013)
- [Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations](https://mlsanity.com/paper/2102.08368/) (2021)
- [Interpreting Neural Networks to Improve Politeness Comprehension](https://mlsanity.com/paper/1610.02683/) (2016)
- [EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators](https://mlsanity.com/paper/1912.00819/) (2019)
- [Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots](https://mlsanity.com/paper/1809.07269/) (2018)
- [GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection](https://mlsanity.com/paper/1803.11509/) (2018)
- [Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs](https://mlsanity.com/paper/1806.11420/) (2018)

## Abstract (arXiv)

Many socio-linguistic cues are used in the conversational analysis, such as emotion, sentiment, and dialogue acts. One of the fundamental social cues is politeness, which linguistically possesses properties useful in conversational analysis. This short article presents some of the brief findings of polite emotional dialogue acts, where we can correlate the relational bonds between these socio-linguistics cues. We found that the utterances with emotion classes Anger and Disgust are more likely to be impolite while Happiness and Sadness to be polite. Similar phenomenon occurs with dialogue acts, Inform and Commissive contain many polite utterances than Question and Directive. Finally, we will conclude on the future work of these findings.