Introduction

Textual emotion classification (TEC) aims to extract and analyze user emotional states in texts. There has been a rapid development of various deep learning (DL) methods that have proven successful in many domains such as audio, image, and natural language processing. This trend has drawn increasing numbers of researchers from traditional machine learning to DL for their scientific research. In this chapter, we provide an overview on TEC based on DL methods. After introducing a background of TEC that includes defining emotion, emotion classification methods, and application domains of TEC, we provide an overview on the DL technology.