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Research letters

Twitter public sentiment dynamics on cruise tourism during the COVID-19 pandemic

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Pages 892-898 | Received 03 Jul 2020, Accepted 22 Oct 2020, Published online: 16 Nov 2020

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Liz Sharples, Judith Fletcher-Brown, Kokho (Jason) Sit & Marta Nieto-Garcia. (2023) Exploring crisis communications during a pandemic from a cruise marketing managers perspective: an application of construal level theory. Current Issues in Tourism 26:19, pages 3175-3190.
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Mahdi Hajiabadi, Hamed Vahdat-Nejad & Hamideh Hajiabadi. (2023) COVID-19 and tourism: extracting public attitudes. Current Issues in Tourism 26:4, pages 547-553.
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Angela Chu & Vincent Tung. (2023) Investigating the Motivations and Preferences of Chinese Cruise Travelers Amid COVID-19. Journal of China Tourism Research 19:1, pages 92-117.
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Gbenga Adamolekun, Festus Fatai Adedoyin & Ilhan Ozturk. (2022) Supply side sentiments and international travel: a novel dynamic simulation of policy options for business and investor sentiments. Journal of Policy Research in Tourism, Leisure and Events 0:0, pages 1-23.
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Articles from other publishers (24)

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Viriya Taecharungroj & Ake Pattaratanakun. (2023) Responding to an unprecedented shock — Elucidating how 113 DMOs changed the marketing communications on Twitter during the COVID-19 crisis. Journal of Destination Marketing & Management 30, pages 100819.
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Omar Al Zoubi, Ahmad Alaiad, Aya Migdady & Muneer Bani Yassein. (2023) Sentiment Analysis of COV19 Impact on Education and Economy Sectors using Arabic Tweets. Sentiment Analysis of COV19 Impact on Education and Economy Sectors using Arabic Tweets.
Xiaodong Sun, Xiulian Cao & Yui-yip Lau. (2023) Exploring cruise tourists' sentiment expression pattern from online reviews: An insight into market positioning. Tourism Management Perspectives 49, pages 101195.
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Shruti Gulati. (2022) “I need some space!” deciphering space tourism discussions on social media. Global Knowledge, Memory and Communication 72:4/5, pages 424-436.
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Camelia Surugiu, Marius-Răzvan Surugiu & Cătălin Grădinaru. (2023) Targeting Creativity Through Sentiment Analysis: A Survey on Bucharest City Tourism. SAGE Open 13:2, pages 215824402311673.
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Bahjat Fakieh, Abdullah S. AL-Malaise AL-Ghamdi, Farrukh Saleem & Mahmoud Ragab. (2023) Optimal Machine Learning Driven Sentiment Analysis on COVID-19 Twitter Data. Computers, Materials & Continua 75:1, pages 81-97.
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Mustapha Lydiri, Yousef El Mourabit, Youssef El Habouz & Mohamed Fakir. (2022) A performant deep learning model for sentiment analysis of climate change. Social Network Analysis and Mining 13:1.
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Fairuz Iqbal Maulana, Puput Dani Prasetyo Adi, Dian Lestari, Agung Purnomo & Sukeipah Yuli Prihatin. (2022) Twitter Data Sentiment Analysis of COVID-19 Vaccination using Machine Learning. Twitter Data Sentiment Analysis of COVID-19 Vaccination using Machine Learning.
Irmgard L. Bauer. (2022) COVID-19: how can travel medicine benefit from tourism’s focus on people during a pandemic?. Tropical Diseases, Travel Medicine and Vaccines 8:1.
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Bador Al sari, Rawan Alkhaldi, Dalia Alsaffar, Tahani Alkhaldi, Hanan Almaymuni, Norah Alnaim, Najwa Alghamdi & Sunday O. Olatunji. (2022) Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms. Journal of Big Data 9:1.
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Nabanita Das, Bikash Sadhukhan, Tanusree Chatterjee & Satyajit Chakrabarti. (2022) Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak. Social Network Analysis and Mining 12:1.
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Natt Leelawat, Sirawit Jariyapongpaiboon, Arnon Promjun, Samit Boonyarak, Kumpol Saengtabtim, Ampan Laosunthara, Alfan Kurnia Yudha & Jing Tang. (2022) Twitter data sentiment analysis of tourism in Thailand during the COVID-19 pandemic using machine learning. Heliyon, pages e10894.
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Yang Chen, Zihao Zhang & Tao Wang. (2022) Dire Straits: How tourists on the Diamond Princess cruise endured the COVID-19 crisis. Tourism Management 91, pages 104503.
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Piyush Vyas, Martin Reisslein, Bhaskar Prasad Rimal, Gitika Vyas, Ganga Prasad Basyal & Prathamesh Muzumdar. (2022) Automated Classification of Societal Sentiments on Twitter With Machine Learning. IEEE Transactions on Technology and Society 3:2, pages 100-110.
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Roman Egger & Joanne Yu. (2022) A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts. Frontiers in Sociology 7.
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Bruno Sousa, Laurentina Vareiro, Ana Rita Marques, Vasco Ribeiro Santos & Marco Valeri. 2022. Tourism Risk. Tourism Risk 115 128 .
Hamzah Osop, Basem Suleiman & Abdallah Lakhdari. 2022. Social Computing and Social Media: Design, User Experience and Impact. Social Computing and Social Media: Design, User Experience and Impact 358 369 .
Nuria Recuero-Virto. 2022. COVID-19 and a World of Ad Hoc Geographies. COVID-19 and a World of Ad Hoc Geographies 683 699 .
Yang Yang, Carol X. Zhang & Jillian M. Rickly. (2021) A review of early COVID-19 research in tourism: Launching the Annals of Tourism Research's Curated Collection on coronavirus and tourism. Annals of Tourism Research 91, pages 103313.
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Rakhi Batra, Ali Shariq Imran, Zenun Kastrati, Abdul Ghafoor, Sher Muhammad Daudpota & Sarang Shaikh. (2021) Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive. Sustainability 13:10, pages 5344.
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Bartolomé Marco-Lajara, Pedro Seva-Larrosa, Lorena Ruiz-Fernández & Javier Martínez-Falcó. 2021. Impact of Global Issues on International Trade. Impact of Global Issues on International Trade 211 232 .
Ibrahim Sabuncu. 2021. Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry. Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry 330 350 .
Liviu-Adrian Cotfas, Camelia Delcea, Ioan Roxin, Corina Ioanas, Dana Simona Gherai & Federico Tajariol. (2021) The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement. IEEE Access 9, pages 33203-33223.
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