Method for Forming Emotions. csv
Could you please elaborate on how the author generated the emotion.csv file? Specifically, was this process based on a unimodal approach or a multimodal one? It would be greatly appreciated if you could provide a detailed explanation of the methodology involved.
In fact, emotion. csv here is a vector containing [193 * feature_dimension], and its source is:
Input each sample into the emotion model and extract the last layer of features as emotion features, which are used as deception detection tasks (similar to personality traits, but personality traits are existing scale scores, while emotion features are emotion embeddings obtained through the model). You can train this emotion model by yourself or use open-source models such as emotion2vec.
Both unimodal and multimodal are acceptable.