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    A Bibliometric of Sentiment Analysis in Tourism Industry during COVID-19 Pandemic

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    Author
    Yaqub, Asra
    Huda, Talib
    Brahimi, Tayeb cc
    Sarirete, Akila cc
    Subject
    Sentiment Analysis,
    Tourism
    COVID-19
    Bibliometric
    Text Mining
    Date
    2022-03-07
    
    Metadata
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    Abstract
    The purpose of this paper is to explore, visualize, and analyze the state-of-the-art research of sentiment analysis in the tourism industry during COVID-19 using bibliometrics. The information source is obtained from the Scopus database from January 1, 2020, to November 27, 2021. A sample of 1690 documents was obtained within this period. Topic areas with titles, keywords, and abstract criteria in sentiment analysis and travel and tourism were used as a reference for extracting results. There was a significant increase in papers published in 2020 and 2021 related to COVID-19 and sentiment analysis. The top five most active countries were the United States (310 documents and 1799 citations), followed by the United Kingdom (170 documents and 12674 citations), China (240 documents and 1297 citations), Australia (120 documents and 430 citations), and Germany (44 documents and 172 citations). The maximum number of occurrences was "social media (401)" followed by "sentiment analysis (149)", "tourism (116)", "Covid-19 (131)", and "Twitter (77)". This study provides an overview of sentiment analysis and shows the trends in the research and publication with the tourism industry.
    Department
    Master of Science in Urban Design
    Publisher
    IEOM
    Collections
    Conference Proceedings

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