Nankai University International E-Forum on Artificial Intelligence and Robotics

（第62期）

2025年南开大学人工智能与机器人国际学术讲坛

College of Artificial Intelligence, Nankai University

报告时间：2025年11月18日（周二）10:30-11:30

报告嘉宾：ErikCambria

zoom会议：848 6093 4364 Passcode: 497726

报告题目：Past, Present, and Future of Sentiment Analysis

报告摘要：

Sentiment analysis has progressed through four major paradigms, reflecting the broader evolution of artificial intelligence—from explicit reasoning to anticipatory intelligence. In the 1990s, rule-based and lexicon-driven systems dominated, encoding human affect through handcrafted knowledge. The 2010s introduced statistical and explainable sentiment analysis, where data-driven models learned affective patterns while striving for interpretability. The 2020s ushered in personalized sentiment analysis, adapting emotion understanding to individual users, cultures, and contexts. Looking toward the 2030s, the field is converging on predictive sentiment analysis—enabled by foundation models for affective computing that integrate multimodal signals, contextual memory, and human-in-the-loop feedback to anticipate emotional trajectories before they surface. This talk traces this evolution and outlines how large affective models can serve as the backbone for emotionally intelligent, proactive AI systems.

报告人简介：

Erik Cambria is a Professor of Artificial Intelligence at NTU CCDS, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and a Visiting Professor at MIT Media Lab. He has founded several AI companies, such as SenticNet (https://business.sentic.net), offering B2B sentiment analysis services, and finaXai (https://finaxai.com), providing fully explainable financial insights, and has worked at HP Labs and Microsoft Research prior to joining academia. Today, his research focuses on neurosymbolic AI for interpretable and explainable affective computing in domains like mental health, climate resilience, and socially responsible investing. Prof Cambria is ranked in Clarivate's Highly Cited Researchers List of World's Top 1% Scientists, is recipient of many awards, e.g., IEEE Outstanding Early Career, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of various top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in several international conferences as keynote speaker, program chair and committee member.

SPEAKER PICTURE

https://sentic.net/erikcambria.jpg