Sifr-un/To-Vaccinate-or-Not-to-Vaccinate

My submission to Zindi's hackathon zindi.africa # To-Vaccinate-or-Not-to-Vaccinate My submission to Zindi's hackathon zindi.africa ## Context Work has already begun towards developing a COVID-19 vaccine. From measles to the common flu, vaccines have lowered the risk of illness and death, and have saved countless lives around the world. Unfortunately in some countries, the 'anti-vaxxer' movement has led to lower rates of vaccination and new outbreaks of old diseases. Although it may be many months before we see COVID-19 vaccines available on a global scale, it is important to monitor public sentiment towards vaccinations now and especially in the future when COVID-19 vaccines are offered to the public. The anti-vaccination sentiment could pose a serious threat to the global efforts to get COVID-19 under control in the long term. ## Objective The objective of this challenge is to develop a machine learning model to assess if a Twitter post related to vaccinations is positive, neutral, or negative. This solution could help governments and other public health actors monitor public sentiment towards COVID-19 vaccinations and help improve public health policy, vaccine communication strategies, and vaccination programs across the world.