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Self-Esteem-Recognition
Self-Esteem-Recognition PublicThis is a nested model structure to identify individual self-esteem through facial microexpressions and verbal text features in three self-presented videos.
Python
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computational-linguistics
computational-linguistics PublicThese codes are used for Chinese text analysis, extracting three levels of features (lexical, syntactic, semantic).
Python
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time-series-analysis-AUs
time-series-analysis-AUs PublicAUs was identified based on OpenFace and the basic emotion score was calculated. TSFresh was used to complete the time series analysis and extract the dynamic features of instantaneous emotions. Fi…
Python
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voice-as-biomarker
voice-as-biomarker PublicWe used opensmile and miniBRT to extract speech and text features. Then sklearn was used for self-esteem recognition. In addition, the original feature set is also submitted.
Python
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Present-Focused-Temporal-Self-Appraisal
Present-Focused-Temporal-Self-Appraisal PublicWe have open-sourced the dataset in this study and the source code for extracting text features.
Python
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