Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …

Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind
certain emotions in text, has gained much attention in recent years due to its wide …

Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …

Emotion recognition has emerged as an important research area which may reveal some
valuable input to a variety of purposes. People express their emotions directly or indirectly …

Current approaches to empathetic response generation focus on learning a model to predict
an emotion label and generate a response based on this label and have achieved …

In this paper, a novel dual-channel system for multi-class text emotion recognition has been
proposed, and a novel technique to explain its training & predictions has been developed …

In recent years, a new interesting task, called emotion-cause pair extraction (ECPE), has
emerged in the area of text emotion analysis. It aims at extracting the potential pairs of …

In this chapter, we present our work in emotion cause extraction. Since there is no open
dataset available, the lack of annotated resources has limited the research in this area …