This software demonstration article introduces transforEmotion, an open-source R package that addresses critical bottlenecks in communication research emotion analysis. Communication researchers currently face three key barriers: (1) modal fragmentation requiring separate tools for text/image/video analysis, (2) rigid emotion taxonomies that don't match theoretical frameworks, and (3) irreproducible workflows dependent on commercial APIs. transforEmotion removes these bottlenecks through unified multimodal processing, zero-shot classification with arbitrary labels, local inference capabilities, and seamless R integration. This enables systematic investigation of emotion dynamics across communication contexts and modalities that were previously technically difficult to analyze.
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Aleksandar Tomašević
Hudson Golino
Alexander P. Christensen
Computational Communication Research
Vanderbilt University
University of Virginia
University of Belgrade
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Tomašević et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a75ebec6e9836116a29a0b — DOI: https://doi.org/10.5117/ccr2026.2.2.toma