Aspect based sentiment analysis using multi-criteria decision-making and deep learning under COVID-19 pandemic in India.

ABSTRACT: The COVID-19 pandemic has a significant impact on the global economy and health. While the pandemic continues to cause casualties in millions, many countries have gone under lockdown. During this period, people have to stay within walls and become more addicted towards social networks. They express their emotions and sympathy via these online platforms. Thus, popular social media (Twitter and Facebook) have become rich sources of information for Opinion Mining and Sentiment Analysis on COVID-19-related issues. We have used Aspect Based Sentiment Analysis to anticipate the polarity of public opinion underlying different aspects from Twitter during lockdown and stepwise unlock phases. The goal of this study is to find the feelings of Indians about the lockdown initiative taken by the Governm

SUBMITTER: Dutta R 

PROVIDER: S-EPMC9874458 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature