• Rutwik Keskar
• Antara Joshi

The chronic nature of the coronavirus disease (COVID-19) outbreak in late 2019 has brought several devastations to the world. The lack of success in treatment and cure is creating an environment that is crucial for mental wellbeing. The pandemic situation has spread across the globe. This situation has infected more than ten million people and it has disrupted various businesses in the world. The physical distancing and the use of protective masks were suggested, but still, the cases seem to rise. This led to worldwide lockdown in different phases across the world. We have extracted and classified sentiments and emotions from news channel headlines about the coronavirus disease (COVID-19). The headlines considered were those carrying keyword coronavirus news sources. The headlines are classified into positive, negative, and neutral sentiments. The text unbound polarity at the sentence level score is calculated by incorporating the valence shifters. This paper investigates the impact of news on the human mind using sentiment analysis. The research follows a deep learning mechanism to achieve the goal. Deep learning deals with a very large amount of data efficiently and performs the complex task. Deep learning is built explicitly for dealing with a significant amount of large numbers that perform complex tasks which in turn perform automatic learning that is necessary. In this paper, we perform a sentiment analysis of news data during the pandemic lockdown. We have taken a time of two and four weeks after the lockdown was imposed. Investigating the sentiments of people in the form of positive, negative, and neutral news would assist us in determining how people are dealing with the pandemic and its effects on their psychological levels. The study will be effective in the determination of people’s mental well-being. Also, this will be useful in devising appropriate lockdown strategies and crisis management in the future.

Coronavirus, Sentiment analysis, Lockdown, COVID-19, Cognitive study, Human psychology

"Sentiment Analysis Of News On Human mind Using NLP and Deep Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.b243-b249, September-2021, Available :http://www.jetir.org/papers/JETIR2109129.pdf

"Sentiment Analysis Of News On Human mind Using NLP and Deep Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppb243-b249, September-2021, Available at : http://www.jetir.org/papers/JETIR2109129.pdf