Textual Emotion Classification Using Deep Broad Learning

Prof. Sancheng Peng is a Professor at the Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou, China. Prof. Peng’s research interests include Natural Language Processing, Emotion Computing, Social Computing, and Trusted Computing. He has authored or co-authored over 80 technical papers in both journals and conferences. Prof. Peng has served as the Guest Editor of Future Generation Computer Systems and as a PC member for various prestigious international conferences. He is a Senior Member of the CCF and a member of ACM. Ms. Lihong Cao is a Lecturer at the School of English Education, Guangdong University of Foreign Studies, Guangzhou, China. She has authored or coauthored over 10 technical papers in conference proceedings and journals such as the Journal of Network and Computer Applications, Knowledge-Based Systems, Information Sciences, and Tsinghua Science and Technology. Her research interests include Applied Linguistics, Natural Language Processing, Intelligent Computing.

• Preface.- Acknowledgements.- Chapter 1. Introduction.- Chapter 2. BERT and Broad Learning for Textual Emotion Classification.- Chapter 3. Cascading Broad Learning for Textual EmotionClassification.- Chapter 4. Dual Broad Learning for Textual Emotion Classification.- Chapter 5. Single-source Domain Adaptation for Emotion Classification Using CNN-Based Broad Learning.- Chapter 6. Multi-source Domain Adaptation for Emotion Classification Using Bi-LSTM-Based Broad Learning. Chapter 7. Emotion Classification in Textual Conversations Using Deep Broad Learning.- Chapter 8. Rational Graph Attention Network and Broad Learning for Emotion Classification in TextualConversations.- Chapter 9. Summary and Outlook.