Emotion Recognition
emotion-recognition-6d2b848f·2 events·first seen 27d agoAliases: Emotion Recognition
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Atoms of Thought: Universal EEG Representation Learning with Microstates
This paper proposes using EEG microstates as discrete tokenized representations for universal brain-computer interface tasks including sleep staging, emotion recognition, and motor imagery classification. The microstate tokenizer is built via clustering on a large medical EEG dataset and outperforms time- and frequency-domain baselines across multiple downstream tasks.
Text Analytics Evaluation Framework: Benchmarking LLMs on Social Media NLP Tasks
Researchers introduce a 470-question evaluation framework to assess LLM performance on aggregated social media text, applied to Twitter datasets across sentiment analysis, hate speech detection, and emotion recognition. Results show performance degrades substantially as input scale exceeds 500 instances, particularly for open-weights models on numerical tasks. Multi-label and target-dependent scenarios also show notable performance drops, and task complexity progressively erodes accuracy from basic semantic identification to comparison and counting operations. The findings point to architectural bottlenecks in current LLMs for rigorous quantitative analysis over large text collections.