Explore the evolution, challenges, and future directions of sentiment analysis in this comprehensive lecture by Dr. Soujanya Poria, an expert in NLP and sentiment analysis. Delve into key milestones, including RNTN and 1D-CNN models, and the impact of contextual language models. Examine the current state of sentiment understanding and investigate broader applications beyond polarity detection. Learn about aspect-based, multimodal, and contextual sentiment analysis, as well as sentiment reasoning. Discover approaches to domain adaptation and scaling sentiment analysis across multiple domains. Finally, explore the complexities of sarcasm analysis in natural language processing.
Overview
Syllabus
Intro
Reading Material
What is Sentiment Analysis?
Key Milestones in Sentiment Analysis: RNTN and 1D-CNN
Key Milestones in Sentiment Analysis: Contextual LMS
Have We Achieved True Sentiment Understanding Yet?
Wider Scope than Polarity Detection
Aspect-based Sentiment Analysis
Multimodal Sentiment Analysis
Contextual Sentiment Analysis
Sentiment Reasoning
Domain Adaptation Scaling Up to Many Domains
Sarcasm Analysis
Taught by
Elvis Saravia
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