Recently, emotion detection in conversations becomes a hot research topic in the Natural
Language Processing community. In this paper, we focus on emotion detection in multi …

The use of ensemble learning, deep learning, and effective document representation
methods is currently some of the most common trends to improve the overall accuracy of a …

As the amount of content that is created on social media is constantly increasing, more and
more opinions and sentiments are expressed by people in various subjects. In this respect …

Emotion recognition in conversation (ERC) is a widely used technology in both affective
dialogue bots and dialogue recommendation scenarios, where motivating a system to …

Existing emotion recognition methods in conversations (ERC) focus on using different
utterances information between speakers to improve emotion recognition performance, but …

Pre-trained word embeddings constitute an essential building block for many NLP systems
and applications, notably when labeled data is scarce. However, since they compress word …

Graphs have been widely used as modeling tools in Natural Language Processing (NLP),
Text Mining (TM) and Information Retrieval (IR). Traditionally, the unigram bag-of-words …

Emotion recognition in conversations (ERC) is a crucial aspect of human-computer
interaction and plays an important role in various domains, including healthcare …