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    Opinion mining and sentiment analysis in marketing communications: a science mapping analysis in Web of Science (1998–2018)

    • Autor
      Sánchez-Núñez, Pablo; De-las-Heras-Pedrosa, CarlosAutoridad Universidad de Málaga; Peláez-Sánchez, José IgnacioAutoridad Universidad de Málaga
    • Fecha
      2020
    • Editorial/Editor
      Social Sciences
    • Palabras clave
      Bibliometría
    • Resumen
      Opinion 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.
    • URI
      https://hdl.handle.net/10630/19377
    • DOI
      http://dx.doi.org/10.3390/socsci9030023
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    socsci-09-00023-v21.pdf (4.710Mb)
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    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA