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

Belainine Billal, Fatiha Sadat, Hakim Lounis

AAAI 2020 pp. 13755-13756

doi:10.1609/AAAI.V34I10.7149 /aaai/2020/billal2020aaai-complex/

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.

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Text

Billal et al. "Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I10.7149

Markdown

[Billal et al. "Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/billal2020aaai-complex/) doi:10.1609/AAAI.V34I10.7149

BibTeX

@inproceedings{billal2020aaai-complex,
  title     = {{Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)}},
  author    = {Billal, Belainine and Sadat, Fatiha and Lounis, Hakim},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13755-13756},
  doi       = {10.1609/AAAI.V34I10.7149},
  url       = {https://mlanthology.org/aaai/2020/billal2020aaai-complex/}
}