Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison

Sánchez Rada, Juan Fernando ORCID: https://orcid.org/0000-0003-3545-9252 and Iglesias Fernández, Carlos Ángel ORCID: https://orcid.org/0000-0002-1755-2712 (2019). Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison. "Information Fusion", v. 52 ; pp. 344-356. ISSN 1566-2535. https://doi.org/10.1016/j.inffus.2019.05.003.

Descripción

Título: Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Information Fusion
Fecha: Mayo 2019
ISSN: 1566-2535
Volumen: 52
Materias:
ODS:
Palabras Clave Informales: Sentiment analysis; Social context; Social network analysis; Online social networks
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[thumbnail of INVE_MEM_2019_307395.pdf]
Vista Previa
PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (8MB) | Vista Previa

Resumen

Sentiment analysis in social media is harder than in other types of text due to limitations such as abbreviations, jargon, and references to existing content or concepts. Nevertheless, social media provides more information beyond text, such as linked media, user reactions, and relations between users. We refer to this information as social context. Recent works have successfully leveraged the fusion of text with social context for sentiment analysis tasks. However, these works are usually limited to specific aspects of social context, and there have not been any attempts to analyze and apply social context systematically. This work aims to bridge this gap by providing three main contributions: 1) a formal definition of social context; 2) a framework for classifying and comparing approaches that use social context; 3) a review of existing works based on the defined framework.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TEC2015-68284-R
SEMOLA
Sin especificar
Tecnologías de Análisis de Sentimientos y emociones para agentes sociales empáticos en inteligencia ambiental
Horizonte 2020
740934
TRIVALENT
UNIVERSITA DEGLI STUDI ROMA TRE
Terrorism pReventIon Via rAdicaLisation countEr-NarraTive
Horizonte 2020
644632
MixedEmotions
NATIONAL UNIVERSITY OF IRELAND GALWAY
Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets

Más información

ID de Registro: 57548
Identificador DC: https://oa.upm.es/57548/
Identificador OAI: oai:oa.upm.es:57548
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5658605
Identificador DOI: 10.1016/j.inffus.2019.05.003
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: Memoria Investigacion
Depositado el: 16 Mar 2020 16:51
Ultima Modificación: 12 Nov 2025 00:00