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

Sánchez Rada, Juan Fernando and Iglesias Fernández, Carlos Ángel (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.

Description

Title: Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
Author/s:
  • Sánchez Rada, Juan Fernando
  • Iglesias Fernández, Carlos Ángel
Item Type: Article
Título de Revista/Publicación: Information Fusion
Date: May 2019
ISSN: 1566-2535
Volume: 52
Subjects:
Freetext Keywords: Sentiment analysis; Social context; Social network analysis; Online social networks
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2015-68284-RSEMOLAUnspecifiedTecnologías de Análisis de Sentimientos y emociones para agentes sociales empáticos en inteligencia ambiental
Horizon 2020740934TRIVALENTUNIVERSITA DEGLI STUDI ROMA TRETerrorism pReventIon Via rAdicaLisation countEr-NarraTive
Horizon 2020644632MixedEmotionsNATIONAL UNIVERSITY OF IRELAND GALWAYSocial Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets

More information

Item ID: 57548
DC Identifier: http://oa.upm.es/57548/
OAI Identifier: oai:oa.upm.es:57548
DOI: 10.1016/j.inffus.2019.05.003
Official URL: https://www.sciencedirect.com/science/article/pii/S1566253518308704?via%3Dihub
Deposited by: Memoria Investigacion
Deposited on: 16 Mar 2020 16:51
Last Modified: 16 Mar 2020 16:51
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