AI Article Synopsis
- The COVID-19 outbreak has drastically impacted the world, causing human distress, economic damage, and significant changes in health and social sectors.
- This study focuses on analyzing social and economic trends of COVID-19 specifically in Pakistan using machine learning techniques and data from an online survey of 410 respondents.
- The research also includes sentiment analysis of tweets from Pakistani users to gauge public attitudes towards the pandemic, identifying both positive and negative sentiments.
Article Abstract
The outbreak of novel coronavirus (COVID-19) has extremely shaken the whole world. COVID-19 has increased human distress, damaged the global economy, flipped the lives of many people around the world upside down, and has had a huge effect on the health, economic, environmental, and social sectors. This study aims to determine the social and economic trends in the outbreak of COVID-19 in Pakistan. Machine learning techniques learn patterns from historical data and make predictions on its basis. Furthermore, an online survey has been conducted to collect data and a total of 410 responses are collected. Machine learning techniques have been used to highlight the impact of COVID-19 on daily life. Moreover, sentiment analysis on tweets of Pakistan has also been performed to evaluate the positive and negative sentiments of the people on COVID-19.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502699 | PMC |
| http://dx.doi.org/10.1016/j.compeleceng.2021.107526 | DOI Listing |
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