This dataset, constructed around the Jilin Baishan Incident, aims to enhance the emotion prediction capabilities of large language models. Approximately 3.5 million raw comments were collected via the Weibo API, covering key information such as user identifiers, text content, timestamps, and interaction metrics. The data underwent preprocessing steps including normalization, Chinese tokenization, stopword removal, deduplication, and anomalous sample exclusion.
Natural wood is generally perceived as expensive, while wood-based boards are cheap, but research has yet to definitively explain why these two materials receive such disparate evaluations. This study aimed to uncover the reasons for this phenomenon by proposing an emotion-driven approach to material research. We collected ten types of natural wood and artificial boards as experimental samples and tested 20 subjects' subjective evaluations of the samples and physiological indicators (electroencephalography and electrodermal activity).
Screening tools play a vital role in sensory processing disorder detection. The automatic collection of features related to behavioral parameters and the response to given stimuli is possible with the recent technology. Real time stress related health parameters are collected as response to visual stimuli created with experts’ suggestions based on visual sensory processing related questionnaire. Body temperature and heart rate are obtained by smart watch.
