Papers by Tran Quang Hung

1 papers
ViGoEmotions: A Benchmark Dataset For Fine-grained Emotion Detection on Vietnamese Texts (2026.eacl-long)

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Challenge: Recent advances in NLP have greatly improved outcomes in emotion prediction and harmful content detection.
Approach: They propose to classify Vietnamese comments into 27 distinct emotions using a model-based lexical normalization system and a transformer-based model.
Outcome: The proposed corpus of 20,664 social media comments is based on a novel model that can support multiple architectures, but its quality and preprocessing strategies remain key factors influencing performance.

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