2020 AAAI AAAI 2020

Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)

Abstract

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.

🌉 Interdisciplinary Bridge — Deep Learning and Interdisciplinary and Machine Learning
🧭 Keyword Pioneer — textual emotion classification
🐣 Hot Topic Early Bird — affective computing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio