research product . 2021

Sentiment analysis of Twitter data to analyze the effect of COVID-19

Adeola Ayandeyi;
Open Access English
  • Published: 01 Sep 2021
  • Country: Canada
Abstract
Coronavirus pandemic has caused major changes in peoples’ personal and social lives. The psychological effects have been substantial because it has affected the ways people live, work, and even socialize. It has also become major discussions on social media platforms as people showcase their opinions and the effect of the virus on their mental health particularly. This pandemic is the first of its kind as humans has never encountered anything like this virus and this is due to its airborne characteristics which leads to social distancing. Before the virus surfaced, some countries of the world were dealing with mental health cases, with over 40 percent of adults ...
Subjects
free text keywords: Coronavirus, COVID-19, Mental Health, Sentimental analysis, Twitter Data, Data Preprocessing, machine learning classifiers, Supervised learning, Semi-supervised learning, performance metrics
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