Sarcastically Speaking - Unlocking Multi-modal Sentiment Analysis With NLP and Facial Expressions

Explore a comprehensive technical workshop that tackles one of natural language processing's most challenging problems: detecting sarcasm through multi-modal sentiment analysis. Learn how traditional NLP models fail when encountering sarcastic language and discover innovative solutions that combine textual analysis with facial expression recognition to dramatically improve sentiment detection accuracy. Master the integration of transformer-based NLP models with facial landmark detection techniques to create context-aware systems that can identify subtle sarcastic cues like eye rolls and eyebrow raises. Dive into real-world datasets and gain hands-on experience with model training, evaluation, and deployment strategies for production environments. Walk away with practical code examples and actionable strategies for implementing facial and textual analysis systems that can effectively handle sarcasm in your own NLP applications, complete with live demonstrations throughout the 59-minute session.