Fine-tuning Embedding Models: Sentence Transformers and Emoji Recognition

Watch a 44-minute webinar demonstrating how to fine-tune embedding models to properly handle and differentiate emoji representations in text analysis. Learn an end-to-end strategy for extending a model's vocabulary while maintaining backward compatibility, eliminating the need to recompute existing embeddings. Discover how to solve the common issue where popular embedding models treat emotionally different sentences with emojis (like "I feel so 😊" and "I feel so 😔") as identical, leading to perfect but incorrect similarity scores. Master techniques for accurately capturing emotional context in social media analysis and user sentiment detection through proper emoji processing in your vector embeddings.