Resources
Explore whitepapers, case studies, research citations, and webinars to learn more about emotion-aware AI and SOYL's technology.
Resources
Emotion-Aware AI: The Future of Customer Engagement
Deep dive into SOYL's approach to multimodal emotion intelligence and adaptive agents.
Download →RetailTech Inc.: 40% Conversion Rate Increase
Learn how RetailTech integrated SOYL's emotion-aware agents into their e-commerce platform.
Read →Multimodal Emotion Detection: A Comparative Study
Research paper comparing emotion detection across IEMOCAP, CMU-MOSEI, and AffectNet datasets.
Read →Building Emotion-Aware Applications
Watch our technical webinar on integrating SOYL's SDK into your applications.
Watch →Research Citations
SOYL's research builds on established multimodal emotion datasets and methodologies:
IEMOCAP
Interactive emotional dyadic motion capture database
https://www.cs.columbia.edu/~dyan/iemocap/ →CMU-MOSEI
CMU Multimodal Opinion Sentiment and Emotion Intensity
https://cmu-multicomp.github.io/CMU-MOSEI/ →Stay Updated
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