The experiment procedure and the pipeline of data processing (IMAGE)
Caption
(A) The calculation for the temporal dynamics of moral elevation in the videos. Danmaku comments in each video for stimuli were first extracted as comment texts with time tags. Then, a natural language processing (NLP) method was performed to calculate the scores of moral elevation for each second of the videos using a danmaku comment dictionary. (B) The dictionary construction of danmaku comments. Danmaku comments from a cluster of moral elevation videos were extracted as plain texts without time tags. Texts were then segmented into single words or phrases. These words or phrases were rated in the preexperiment to build a dictionary for moral elevation. (C) The pipeline for EEG processing. After pre-processing, EEG power spectra features for each second were calculated at theta, alpha, beta, and gamma. The least absolute shrinkage and selection operator (LASSO) regression with 5-fold cross-validation was performed to predict the dynamics of moral elevation conveyed in danmaku comments.
Credit
Chenhao Bao, Tsinghua University, Department of Electronic Engineering.
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