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Research Paper

A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017)

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Pages 1496-1504 | Received 23 Mar 2019, Accepted 28 May 2019, Published online: 16 Jul 2019

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Francesco Gesualdo, Lucie M. Bucci, Caterina Rizzo & Alberto E. Tozzi. (2022) Digital tools, multidisciplinarity and innovation for communicating vaccine safety in the COVID-19 era. Human Vaccines & Immunotherapeutics 18:1.
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Lara Tavoschi, Filippo Quattrone, Eleonora D’Andrea, Pietro Ducange, Marco Vabanesi, Francesco Marcelloni & Pier Luigi Lopalco. (2020) Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy. Human Vaccines & Immunotherapeutics 16:5, pages 1062-1069.
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Gregory D. Zimet & Nosayaba Osazuwa-Peters. (2019) There’s Much Yet to be Done: Diverse Perspectives on HPV Vaccination. Human Vaccines & Immunotherapeutics 15:7-8, pages 1459-1464.
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Alexandre Dupuy-Zini, Bissan Audeh, Christel Gérardin, Catherine Duclos, Amandine Gagneux-Brunon & Cedric Bousquet. (2023) Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 25, pages e37237.
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Jean-Christophe Boucher, So Youn Kim, Geneviève Jessiman-Perreault, Jack Edwards, Henry Smith, Nicole Frenette, Abbas Badami & Lisa Allen Scott. (2023) HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 23:1.
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Maxwell A. Weinzierl, Suellen Hopfer & Sanda M. Harabagiu. (2022) Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse. Journal of Behavioral Medicine 46:1-2, pages 253-275.
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Oleg N. Belenov, Nataliya N. Belenova, Svetlana A. Gayvoronskaya, Irina V. Shilova & Julia V. Shurchkova. 2022. Digital Technologies and Institutions for Sustainable Development. Digital Technologies and Institutions for Sustainable Development 461 466 .
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Yuming Wang, Stephen M Croucher & Erika Pearson. (2021) National Leaders’ Usage of Twitter in Response to COVID-19: A Sentiment Analysis. Frontiers in Communication 6.
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Kalyani Sonawane, Yueh-Yun Lin, Haluk Damgacioglu, Yenan Zhu, Maria E. Fernandez, Jane R. Montealegre, Cecilia Ganduglia Cazaban, Ruosha Li, David R. Lairson, Ying Lin, Anna R. Giuliano & Ashish A. Deshmukh. (2021) Trends in Human Papillomavirus Vaccine Safety Concerns and Adverse Event Reporting in the United States. JAMA Network Open 4:9, pages e2124502.
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Jean-Christophe Boucher, Kirsten Cornelson, Jamie L Benham, Madison M Fullerton, Theresa Tang, Cora Constantinescu, Mehdi Mourali, Robert J Oxoby, Deborah A Marshall, Hadi Hemmati, Abbas Badami, Jia Hu & Raynell Lang. (2021) Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study. JMIR Infodemiology 1:1, pages e28800.
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Jingwen Zhang, Haoning Xue, Christopher Calabrese, Huiling Chen & Julie H. T. Dang. (2021) Understanding Human Papillomavirus Vaccine Promotions and Hesitancy in Northern California Through Examining Public Facebook Pages and Groups. Frontiers in Digital Health 3.
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Dominik Wawrzuta, Mariusz Jaworski, Joanna Gotlib & Mariusz Panczyk. (2021) Characteristics of Antivaccine Messages on Social Media: Systematic Review. Journal of Medical Internet Research 23:6, pages e24564.
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Stephen Wai Hang Kwok, Sai Kumar Vadde & Guanjin Wang. (2021) Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis. Journal of Medical Internet Research 23:5, pages e26953.
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Sally M. Jackson, Margherita Daverio, Silvia Lorenzo Perez, Francesco Gesualdo & Alberto E. Tozzi. (2021) Improving Informed Consent for Novel Vaccine Research in a Pediatric Hospital Setting Using a Blended Research-Design Approach. Frontiers in Pediatrics 8.
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Vincent Karas & Björn W. Schuller. 2021. Natural Language Processing for Global and Local Business. Natural Language Processing for Global and Local Business 97 132 .
Julie Polisena, Martina Andellini, Piergiorgio Salerno, Simone Borsci, Leandro Pecchia & Ernesto Iadanza. (2021) Case Studies on the Use of Sentiment Analysis to Assess the Effectiveness and Safety of Health Technologies: A Scoping Review. IEEE Access 9, pages 66043-66051.
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Alejandro Rodríguez-González, Juan Manuel Tuñas, Lucia Prieto Santamaría, Diego Fernández Peces-Barba, Ernestina Menasalvas Ruiz, Almudena Jaramillo, Manuel Cotarelo, Antonio J. Conejo Fernández, Amalia Arce & Angel Gil. (2020) Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences 10:24, pages 9019.
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Alejandro Rodriguez Gonzalez, Juan Manuel Tunas, Diego Fernandez Peces-Barba, Ernestina Menasalvas Ruiz, Almudena Jaramillo, Manuel Cotarelo, Antonio Conejo, Amalia Arce & Angel Gil. (2020) Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study. Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study.
Guy Fagherazzi, Catherine Goetzinger, Mohammed Ally Rashid, Gloria A Aguayo & Laetitia Huiart. (2020) Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research 22:6, pages e19284.
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