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Analyzing Public View towards Vaccination using Twitter

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2019, Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering.
Educating people about vaccination tends to target vaccine acceptance and reduction of hesitancy. Social media provides a promising platform for studying public perception regarding vaccination. In this study, we harvested tweets over a year related to vaccines from February 2018 to January 2019. We present a two-stage classifier to: (1) classify the tweets as relevant or non-relevant and (2) categorize them in terms of pro-vaccination, anti-vaccination, or neutral outlook. We found that the classifier was able to distinguish clearly between anti-vaccination and pro-vaccination tweets, but also misclassified many of these as neutral. Using Latent Dirichlet Allocation, we found that two topics were sufficient to describe the corpus of tweets. These dealt with: (1) consequences of vaccination/non-vaccination, and (2) promotion of vaccination/non-vaccination. Finally, using the NRC emotion lexicon, we found practically significant differences in emotions expressed about vaccination between vaccine outlooks, but no practically significant temporal differences across a year.
Tanvi Banerjee, Ph.D. (Advisor)
William Romine, Ph.D. (Committee Member)
Travis Doom, Ph.D. (Committee Member)
109 p.

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Citations

  • Mahajan, R. (2019). Analyzing Public View towards Vaccination using Twitter [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1578379698895464

    APA Style (7th edition)

  • Mahajan, Rutuja. Analyzing Public View towards Vaccination using Twitter. 2019. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1578379698895464.

    MLA Style (8th edition)

  • Mahajan, Rutuja. "Analyzing Public View towards Vaccination using Twitter." Master's thesis, Wright State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1578379698895464

    Chicago Manual of Style (17th edition)