Big data analytics on social media regarding the COVID-19 VACCINES

Author: SERIGNE MBACKE MBAYE, Olawale Olapado
Mentor: Biao Jiang
Institution: Hostos
Abstract:

Social Media Analytics and how social media data can be used to draw insights for taking THE Covid-19 vaccine
Evaluation of the effect of social media on vaccination campaigns

Problem statement
• 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.
• One of the most supportive platforms to express feelings, thoughts, share opinions is social media, for example Facebook, Instagram, Twitter…
• What is the public opinion related to Covid-19 vaccine?

The covid-19 vaccine on twitter
– Different types of posts regarding the vaccine on twitter?
– Positive and negative posts on the vaccine
– Challenges
Materials and Methods
Collect tweets from Twitter
Apply the methods, tools and techniques to real-world problems by leveraging technologies such as Python, PyCharm, application program interfaces (APIs), Excel, Tableau.
We have created a robot named “Rambo”.
Rambo goes to twitter and collect data related
to the Covid-19 Vaccine by using hashtags
• Classification of the data based on the number of likes, the retweets, the comments
• The rate of positive tweets
• The rate of negative tweets

 

Research-Presentation-CRSP-Baye-Diossy-Mbaye