Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge

Research article (Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), 2019) · cited 32× · AI/ML
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Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge

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Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-multi-label-emotion-classification-by-integrating-both-general-and-domain-specific-knowledge
MLA “Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-multi-label-emotion-classification-by-integrating-both-general-and-domain-specific-knowledge.
BibTeX @misc{4ortxyz_improving-multi-label-emotion-classification-by-integrating-both-general-and-domain-specific-knowledge_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge}}, year = {2026}, url = {https://4ort.xyz/entity/improving-multi-label-emotion-classification-by-integrating-both-general-and-domain-specific-knowledge}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge — https://4ort.xyz/entity/improving-multi-label-emotion-classification-by-integrating-both-general-and-domain-specific-knowledge (retrieved 2026-05-24)

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