Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)
Emotion recognition and mining tasks are often limited by the availability of manually annotated data. Several researchers have used emojis and specific hashtags as forms of training and supervision.
This research paper proposes a new textual and social corpus, the corpus labeled using basic emotions following Plutchik's theory. Thus, This paper propose a first study for the representation and interpretation of complex emotional interactions, using deep neural networks.
How to Cite
Billal, B., Sadat, F., & Lounis, H. (2020). Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13755-13756. https://doi.org/10.1609/aaai.v34i10.7149
Student Abstract Track