Author: SERIGNE MBACKE MBAYE, Olawale Olapado
\nMentor: Biao Jiang
\nInstitution: Hostos
\nAbstract:<\/p>\n
Social Media Analytics and how social media data can be used to draw insights for taking THE Covid-19 vaccine
\nEvaluation of the effect of social media on vaccination campaigns<\/p>\n
Problem statement
\n\u2022 The risk of coronavirus is increasing daily, which forces the government to take several measures including social distancing, the wearing of mask, lockdown and vaccines.
\n\u2022 One of the most supportive platforms to express feelings, thoughts, share opinions is social media, for example Facebook, Instagram, Twitter\u2026
\n\u2022 What is the public opinion related to Covid-19 vaccine?<\/p>\n
The covid-19 vaccine on twitter
\n– Different types of posts regarding the vaccine on twitter?
\n– Positive and negative posts on the vaccine
\n– Challenges
\nMaterials and Methods
\nCollect tweets from Twitter
\nApply the methods, tools and techniques to real-world problems by leveraging technologies such as Python, PyCharm, application program interfaces (APIs), Excel, Tableau.
\nWe have created a robot named \u201cRambo\u201d.
\nRambo goes to twitter and collect data related
\nto the Covid-19 Vaccine by using hashtags
\n\u2022 Classification of the data based on the number of likes, the retweets, the comments
\n\u2022 The rate of positive tweets
\n\u2022 The rate of negative tweets<\/p>\n
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