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dc.contributor.authorSánchez-Núñez, Pablo
dc.contributor.authorDe las Heras-Pedrosa, Carlos 
dc.contributor.authorPeláez, José Ignacio
dc.date.accessioned2020-03-10T08:34:35Z
dc.date.available2020-03-10T08:34:35Z
dc.date.created2020
dc.date.issued2020
dc.identifier.citationSánchez-Núñez, P., de las Heras-Pedrosa, C. & Peláez, J.I., 2020. Opinion Mining and Sentiment Analysis in Marketing Communications: A Science Mapping Analysis in Web of Science (1998–2018). Social Sciences, 9(3), p.23. http://dx.doi.org/10.3390/socsci9030023.en_US
dc.identifier.urihttps://hdl.handle.net/10630/19377
dc.description.abstractOpinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study was carried out using VOSviewer, CitNetExplorer and InCites based on results from Web of Science (WoS). The results of this analysis show the evolution of the field, by highlighting the most notable authors, institutions, keywords, publications, countries, categories and journals.en_US
dc.description.sponsorshipThe research was funded by Programa Operativo FEDER Andalucía 2014‐2020, grant number “La reputación de las organizaciones en una sociedad digital. Elaboración de una Plataforma Inteligente para la Localización, Identificación y Clasificación de Influenciadores en los Medios Sociales Digitales (UMA18‐ FEDERJA‐148)” and The APC was funded by the same research granten_US
dc.language.isoengen_US
dc.publisherSocial Sciencesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBibliometríaen_US
dc.subject.otherSentiment analysisen_US
dc.subject.otherOpinion miningen_US
dc.subject.otherMarketingen_US
dc.subject.otherCommunicationen_US
dc.subject.otherScience mapping analysisen_US
dc.subject.otherWeb of Science (WoS)en_US
dc.subject.otherBibliometric indicatorsen_US
dc.subject.otherScientific collaborationen_US
dc.titleOpinion mining and sentiment analysis in marketing communications: a science mapping analysis in Web of Science (1998–2018)en_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.centroFacultad de Ciencias de la Comunicaciónen_US
dc.identifier.doihttp://dx.doi.org/10.3390/socsci9030023


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