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New research tackles emotion analysis in multimodal social media posts · 2 sources tracked

By PulseAugur Editorial · [3 sources] ·

Two new research papers explore the complexities of emotion analysis in multimodal social media posts. The first paper introduces the Multimodal Multi-Emotion-Model dataset (Mult2EMo), which includes annotations from both authors and readers, highlighting the importance of understanding triggering events and the role of images in conveying emotion. The second paper compares data collection strategies, finding that while study-created posts are simpler to gather and pose fewer privacy risks, they differ from genuine posts in length, modality reliance, and event focus, impacting model performance. AI

IMPACT Advances understanding of multimodal data for emotion analysis, potentially improving AI's ability to interpret nuanced human expression.

RANK_REASON Two arXiv papers on multimodal emotion analysis.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New research tackles emotion analysis in multimodal social media posts · 2 sources tracked

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Two arXiv papers on multimodal emotion analysis.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Hao Yang, Jin Wang, Xuejie Zhang ·

    YNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction Headers

    arXiv:2609.19238v1 Announce Type: cross Abstract: This paper describes the participation of the YNU-HPCC team in subtask A of task 11, Bridging the Gap in Text-Based Emotion at SemEval-2025. Our best-performing system employs the RoBERTa (Robustly Optimized BERT Approach) model, …

  2. arXiv cs.CL TIER_1 English(EN) · Christopher Bagdon, Carina Silberer, Roman Klinger ·

    Emotion Experience, Expression, and Perception: Emotion Analysis on Multimodal Social Media Posts

    arXiv:2609.18385v1 Announce Type: new Abstract: Emotions are an essential aspect of human communication, particularly on social media, where authors frequently combine text and images to convey their emotions. Yet prior work on emotion analysis of social media posts has overlooke…

  3. arXiv cs.CL TIER_1 English(EN) · Christopher Bagdon, Aidan Combs, Carina Silberer, Roman Klinger ·

    Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts

    arXiv:2505.24427v2 Announce Type: replace Abstract: Accurate modeling of subjective phenomena such as emotion expression requires data annotated with authors' intentions. Commonly such data is collected by asking study participants to donate and label genuine content produced in …

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