Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …

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 …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

User-generated content about brands is an important source of big data that can be
transformed into valuable information. A huge number of items are reviewed and rated by …

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 …

Emotion-cause pair extraction aims to extract all potential pairs of emotions and
corresponding causes from unannotated emotion text. Most existing methods are pipelined …

Emotion cause extraction aims to identify the reasons behind a certain emotion expressed in
text. It is a much more difficult task compared to emotion classification. Inspired by recent …

Emotion-cause pair extraction (ECPE) is a new task that aims to extract the potential pairs of
emotions and their corresponding causes in a document. The existing methods first perform …