---
license: cc-by-nc-nd-4.0
language:
- en
tags:
- youtube,
- review,
- sentiment analysis,
- emotion recognition,
- unimodality and multimodality
task_categories:
- text-classification
- audio-classification
- image-classification
size_categories:
- n<1K
---
UniC: a Dataset for Emotion Analysis of Videos with Multimodal and Unimodal Labels

UniC is comprised of 965 emotion-rich video clips selected from YouTube, annotated in text, audio, (silent) video and multimodal setups with both categorical and dimensional labels. 

Categorical label: disgust, disappointment, neutral, confusion, surprise, contentment, and joy.

Dimensional label: Valence and arousal.

If you use this dataset, please cite our paper:
Quanqi Du, Sofie Labat, Thomas Demeester et al. UniC: a Dataset for Emotion Analysis of Videos with Multimodal and Unimodal Labels, 26 June 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-4443808/v1]

Contact: quanqi.du@ugent.be