TY - JOUR AU - Billal, Belainine AU - Sadat, Fatiha AU - Lounis, Hakim PY - 2020/04/03 Y2 - 2024/03/29 TI - Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract) JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 34 IS - 10 SE - Student Abstract Track DO - 10.1609/aaai.v34i10.7149 UR - https://ojs.aaai.org/index.php/AAAI/article/view/7149 SP - 13755-13756 AB - <p>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.</p><p>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.</p> ER -