arXiv Machine Learning August 10, 2026 By Tianlei Zhu, Zhiwei Liu, Yuyan Wang, Xiao-Yang Liu, Sophia Ananiadou

NTDH: Complex Reasoning for Comprehensive Affective Analysis

Read the original on arXiv Machine Learning →

arXiv:2608. 06425v1 Announce Type: cross Abstract: Comprehensive affective analysis is challenging for two reasons: it spans heterogeneous prediction tasks with continuous, ordinal, and multi-label outputs, and affective meaning is context-dependent, requiring conflicting cues to be reconciled rather than mapped directly to labels.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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