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

Autor:	Hakim Lounis, Belainine Billal, Fatiha Sadat
Rok vydání:	2020
Předmět:	Cognitive science ComputingMethodologies_PATTERNRECOGNITION Computer science Emotional intelligence Emotion classification Interpretation (philosophy) Representation (systemics) Deep neural networks General Medicine
Zdroj:	AAAI
ISSN:	2374-3468 2159-5399
DOI:	10.1609/aaai.v34i10.7149
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6b012e14cb240bab2c8f4ab37a84ed35 https://doi.org/10.1609/aaai.v34i10.7149 Zobrazit plný text záznamu