Paper year
2025
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Unheard melodies and emotional peaks in <i>Let It Go</i> and <i>Show Yourself</i>: a multimodal sentiment analysis
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Abstract
Abstract This research endeavor presents a rigorous interdisciplinary investigation into the emotional and narrative functions of " Let It Go " ( Frozen ) and " Show Yourself " ( Frozen II ), addressing a gap in scholarship that primarily relies on qualitative interpretations. Employing a novel multimodal approach, the study integrates tools from Natural Language Processing (NLP) and Computer Vision to analyze the complex interplay of lyrical, musical, and visual elements. Recognizing the inherently multimodal nature of film and music, it moves beyond traditional unimodal sentiment analysis, which often simplifies emotional complexity. More specifically, it introduces a novel multimodal framework for music sentiment analysis, integrating textual analysis (using BERT and VADER), visual analysis (using Facial Emotion Recognition), and auditory analysis (using Music Information Retrieval techniques). This synergetic approach affords a more holistic understanding of emotional expression than unimodal methods, addressing limitations of existing categorical and dimensional sentiment analysis approaches. Further, it provides a quantitative analysis of emotional trajectories within the selected Frozen songs, complementing existing qualitative interpretations focused on themes of gender, empowerment, and self-discovery.
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