PERCEIVE - Reader Emotion (Weibo): leaderboard

Metric: Reader emotion prediction (Task A: classify a reader comment into one of seven emotions), macro-F1 over the classes (times 100, so 0-100) on the held-out test split (8:1:1 partition) of PERCEIVE, reader-centric social-media data with real reader comments, behaviours and profiles, Chinese Weibo subset; the model is prompted directly; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 3 models tracked.

Top models

#ModelScore
1DeepSeek V3.249.16

Interactive version: theaggregate.ai/benchmark?slug=perceive-reader-emotion-weibo · How It Works · Data refreshed daily, snapshot 2026-10-07.