Autor según el artículo: Jabreel M; Moreno A

Departamento: Enginyeria Informàtica i Matemàtiques

e-ISSN: 2076-3417

Autor/es de la URV: Moreno Ribas, Antonio

Palabras clave: Twitter Sentiment analysis Opinion mining Emotion classification Deep learning

Resumen: © 2019 by the authors. Currently, people use online social media such as Twitter or Facebook to share their emotions and thoughts. Detecting and analyzing the emotions expressed in social media content benefits many applications in commerce, public health, social welfare, etc. Most previous work on sentiment and emotion analysis has only focused on single-label classification and ignored the co-existence of multiple emotion labels in one instance. This paper describes the development of a novel deep learning-based system that addresses the multiple emotion classification problem in Twitter. We propose a novel method to transform it to a binary classification problem and exploit a deep learning approach to solve the transformed problem. Our system outperforms the state-of-the-art systems, achieving an accuracy score of 0.59 on the challenging SemEval2018 Task 1:E-cmulti-label emotion classification problem.

Áreas temáticas: Química Process chemistry and technology Physics, applied Materials science, multidisciplinary Materials science (miscellaneous) Materials science (all) Materiais Instrumentation General materials science General engineering Fluid flow and transfer processes Engineering, multidisciplinary Engineering (miscellaneous) Engineering (all) Engenharias ii Engenharias i Computer science applications Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Chemistry, multidisciplinary Biodiversidade Astronomia / física

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 20763417

Direcció de correo del autor: antonio.moreno@urv.cat

Identificador del autor: 0000-0003-3945-2314

Fecha de alta del registro: 2023-02-18

Volumen de revista: 9

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://www.mdpi.com/2076-3417/9/6/1123

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Applied Sciences-Basel. 9 (6): 1123-1123

Referencia de l'ítem segons les normes APA: Jabreel M; Moreno A (2019). A deep learning-based approach for multi-label emotion classification in Tweets. Applied Sciences-Basel, 9(6), 1123-1123. DOI: 10.3390/app9061123

DOI del artículo: 10.3390/app9061123

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2019

Tipo de publicación: Journal Publications