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Information Journal Paper

Title

Use of health belief modelbased deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study

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  • Cite

    APA: Copy

    . (2020). Use of health belief modelbased deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study. JMIR Public Health and Surveillance, 6(3), 0-0. SID. https://sid.ir/paper/1074165/en

    Vancouver: Copy

    . Use of health belief modelbased deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study. JMIR Public Health and Surveillance[Internet]. 2020;6(3):0-0. Available from: https://sid.ir/paper/1074165/en

    IEEE: Copy

    , “Use of health belief modelbased deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study,” JMIR Public Health and Surveillance, vol. 6, no. 3, pp. 0–0, 2020, [Online]. Available: https://sid.ir/paper/1074165/en

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