In the context of emotion detection, public emotions are known to fluctuate across different topics, and topics can evoke public emotion. Thus, there is a strong interconnection between topic discovery and emotion detection. Jointly modeling topics and emotions is a suitable strategy for these tasks. This book also examines the impact of topics on emotion detection and other related areas.
Qing Li earned his BEng. degree from Hunan University in Changsha, China, and MSc and PhD degrees in computer science from the University of Southern California in Los Angeles, USA. He is a chair professor at the Hong Kong Polytechnic University, a visiting professor at the Zhejiang University, a guest professor at the University of Science and Technology of China, and an adjunct professor of the Hunan University. Li's research interests encompass multi-modal data modeling, multimedia retrieval and management, and e-learning systems. He has authored over 500 papers in the field and is an active member of the research community, serving as a journal reviewer, programme committee chair/co-chair, and as an organizer/co-organizer of various international conferences. Dr. Li is currently the chairman of the Hong Kong Web Society, a councilor of the Database Society of Chinese Computer Federation, and a steering committee member of the international WISE Society. He is a fellow of IEEE, AAIA, and IET.