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In this paper, topic bias is understood to comprise two of these concepts: First, the associ- ation of certain emotion or appraisal labels with certain topics and second, the resulting bias in a classifier towards certain topics when predicting the emotion and appraisal labels.
Dec 14, 2023 · In this paper, we study this topic bias both from the data and the modeling perspective. We first label a set of emotion corpora automatically ...
In this paper, topic bias is understood to comprise two of these concepts: First, the association of certain emotion or appraisal labels with certain topics and ...
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1. Are emotion datasets biased towards topics? We show that emotion datasets are biased to- wards topics, i.e., that there is a prototypical · 2. Is emotion ...
These questions were examined in two eye-tracking experiments by systematically manipulating expression ambiguity and image quality in fear- and sad-happiness ...
Jan 25, 2024 · In this paper, we study thistopic bias both from the data and the modeling perspective. We first label aset of emotion corpora automatically via ...
Though a common classification is to bisect emotional stimuli symmetrically into positive and negative categories (Lang et al., 1998; Russell, 1980), human ...
In this paper, we propose that infants display a negativity bias: that is, infants attend more to, are more influenced by, and use to a greater degree negative ...
To delve deeper into the bias with negative emotion classification, we evaluated the model on faces that had 0% activations across all AUs for "disgust ...
In this paper, based on Mikel's emotion wheel from psychology, we propose a novel approach for evaluating the performance in visual emotion recognition.