Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

Public health; Social networking (online); Vaccines; Coronaviruses; Medical; Multi-perspective; Scientific discipline; Sentiment analysis; Social; Social media; Systematic Review; Technology; Vaccine hesitancy; Sentiment analysis; Human papilloma virus vaccine; measles vaccine; SARS-CoV-2 vaccine; a...

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Bibliographic Details
Main Authors: Alamoodi A.H., Zaidan B.B., Al-Masawa M., Taresh S.M., Noman S., Ahmaro I.Y.Y., Garfan S., Chen J., Ahmed M.A., Zaidan A.A., Albahri O.S., Aickelin U., Thamir N.N., Fadhil J.A., Salahaldin A.
Other Authors: 57205435311
Format: Review
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Public health; Social networking (online); Vaccines; Coronaviruses; Medical; Multi-perspective; Scientific discipline; Sentiment analysis; Social; Social media; Systematic Review; Technology; Vaccine hesitancy; Sentiment analysis; Human papilloma virus vaccine; measles vaccine; SARS-CoV-2 vaccine; artificial intelligence; conspiracy theory; contact examination; coronavirus disease 2019; deep learning; health promotion; human; machine learning; measles; medical technology; misinformation; natural language processing; pandemic; papillomavirus infection; population surveillance; public health message; public opinion; Review; sentiment analysis; social media; statistical analysis; systematic review; transfer of learning; vaccination; vaccination coverage; vaccine hesitancy; COVID-19; COVID-19 Vaccines; Humans; SARS-CoV-2; Sentiment Analysis; Vaccination; Vaccination Hesitancy