eMotions: Large-Scale Emotion Analysis for Short-Form Videos

Wu et al. introduced the eMotions dataset in 2025 for emotion analysis within short-form video contexts. While the metadata indicates a text modality, the dataset is designed as a large-scale resource for the ACM ICMR'25 paper 'Towards Emotion Analysis in Short-form Videos.'

Use Cases

• Emotion classification using text-based video descriptions
• Sentiment analysis of short-form video metadata
• Benchmarking emotion recognition baselines for social media content

Strengths

• Peer-reviewed research from ACM ICMR'25
• Apache 2.0 permissive license
• Focuses on the specific domain of short-form video content

Limitations

• Size category tag indicates fewer than 1,000 records despite 'Large-Scale' claim in title
• Modality is restricted to text which may exclude raw video features

Provenance

Source

Wu, Xuecheng et al. 'Towards emotion analysis in short-form videos: A large-scale dataset and baseline' (ACM ICMR'25)

Freshness

Last updated 2026-03-04

Geography

United States