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New dataset ViTOED targets emotion detection in Vietnamese social media

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced ViTOED, a new dataset designed for target-oriented emotion detection within Vietnamese social media content. This dataset includes over 10,000 user comments and more than 21,000 annotated opinion quadruples, aiming to capture unique Vietnamese linguistic nuances like implicit sources and targets. The paper also proposes a baseline model utilizing structured sentiment graphs and evaluates existing Vietnamese pre-trained language models, identifying challenges in span detection and relation extraction. AI

IMPACT This dataset could improve the accuracy of emotion detection models for Vietnamese language content.

RANK_REASON The cluster describes a new dataset and research paper published on arXiv.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset ViTOED targets emotion detection in Vietnamese social media

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Chanh Vo, Son T. Luu, Ngan Luu-Thuy Nguyen ·

    ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts

    arXiv:2608.12776v1 Announce Type: new Abstract: This paper introduces ViTOED, a novel dataset for target-oriented emotion detection in Vietnamese social media texts. The ViTOED comprises 10,985 user comments and 21,244 manually annotated opinion quadruples (source, target, expres…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts

    This paper introduces ViTOED, a novel dataset for target-oriented emotion detection in Vietnamese social media texts. The ViTOED comprises 10,985 user comments and 21,244 manually annotated opinion quadruples (source, target, expression, polarity) that follow strict guidelines. T…

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