Enumerating happiness index during COVID-19 lockdowns using artificial intelligence techniques. (1st May 2023)

• Record Type: Journal Article
• Authors: Kaushik, Keshav; Bhardwaj, Akashdeep; Aggarwal, Akarsh; Kumar, Manoj
• Is Part Of: International journal of technology management & sustainable development. Volume 22:Number 1(2023)
• Page Start: 35
• Page End: 52
• Publication Date: 2023-05-01
• Subjects: artificial intelligence -- COVID-19 -- health life expectancy -- happiness index -- machine learning -- mental health -- social media -- well-being; Sustainable development -- Periodicals; Technology -- Management -- Periodicals; 333.714
• DOI: 10.1386/tmsd_00066_1
• Languages: English
• ISSNs: 1474-2748

Abstract

Happiness index is an all-inclusive methodology to assess well-being and happiness aspects of human resilience and sustainability. Pandemic like COVID-19 has brought deep level changes to human lifestyle and social behaviours. The world has been reshaped and life has more than likely changed permanently. This has led to calls for mental health, yet there is a dire need to introspect the mental state of health and behavioural changes. Happiness index is calculated based on factors such as GDP, freedom to make choice, health life expectancy and social support. These factors are analysed using datasets from social media with machine learning algorithms to map human response to the pandemic. This research focuses on use of artificial intelligence on the impact of lockdowns due to COVID-19 on the global happiness index.