报告题目：Towards Cognitively-inspired Big Data Sentiment Analytics

　　主讲人：Prof. Amir Hussain (Edinburgh Napier University, Scotland, UK)

　　时间：10月23日（星期二）下午 2:00-3:30

　　地点：主楼216

　　主讲人简介：

　　Professor Amir Hussain received the B.Eng. and Ph.D. degrees from the University of Strathclyde, Glasgow, U.K., in 1992 and 1997, respectively. He is currently Professor and founding Head of the Cyber and Cognitive Big Data Lab at Edinburgh Napier University, U.K. He has (co)authored more than 320 papers, including over a dozen books and around 120 journal papers. He is  founding Editor-in-Chief for the journals: Cognitive Computation (Springer Nature), and Big Data Analytics (BioMed Central), and of the Springer Book Series on Socio-Affective Computing, and Cognitive Computation Trends. He is Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Computational Intelligence Magazine, and the IEEE Transactions on Emerging Topics in Computational Intelligence. Amongst other distinguished roles, he is General Chair for IEEE WCCI 2020 (the world's largest and top IEEE technical event in Computational Intelligence), and Vice-Chair of the Emergent Technologies Technical Committee of the IEEE Computational Intelligence Society.

　　内容简介：

　　Cognitive Big Data Sentiment Analytics is a rapidly developing discipline, bringing together neurobiology, cognitive psychology, Big Data, AI and Natural Language Processing. Ongoing pioneering work at Edinburgh Napier University is exploring the development of cognitively-inspired Big Data Sentiment Analytics for engineering the intelligent systems of tomorrow. Selected case studies are presented in this talk exploring future open-domain sentiment analysis of natural language text, using sentic computing: a novel multi-disciplinary paradigm, exploiting the semantic, latent and implicit meaning of natural language concepts. Ongoing extensions of this work include a cognitively-inspired emotion recognition system based on contextual multimodal input, including text, audio and facial information, leading to more natural human computer interaction, and future secure and smart e-applications. We present a brief summary of these exciting multi-disciplinary research areas, and outline some future research directions and challenges.

　　（承办：组织与人力资源系、科研与学术交流中心）