Sentiments and opinions shared on social media during the COVID-19 pandemic using machine learning techniques

Umang Garg
Rahul Singh Pundir
Mahesh Manchanda
Neha Gupta
Ram Bhawan Singh

Abstract

Social media is gaining a lot of popularity in daily life of humans. It is a medium where users can share the opinions and their views freely. Covid-19 is tough time for every one of us that brings distinguished problems in human survival. Therefore, the use of social media increased at pandemic time. In this chapter, we classify and analyze the sentiments of persons and classify their opinions on the basis of their thoughts and sentiments shared on social media. This chapter focused on Twitter data and trending hashtags which was trend during ...

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