Sentiment Analysis of COVID-19 Lockdown in India

The COVID-19 pandemic has brought about unprecedented changes in the world, including the imposition of lockdowns in many countries. In India, a nationwide lockdown was imposed in March 2020 to curb the spread of the virus. The lockdown significantly impacted people's lives, including their mental health and well-being. In this study, we analyzed Twitter data sentiment to understand the public's sentiment toward the lockdown in India. We collected tweets from April 20 to April 27, 2020, using relevant keywords and hashtags and preprocessed the data using natural language processing techniques. We then used machine learning algorithms to classify the tweets as positive, negative, or neutral based on their sentiment. Our results show that the sentiment toward the lockdown in India was predominantly positive, with people expressing their support for the lockdown. We further used some good and bad words to classify the comments. Our study provides insights into the public's perception of the lockdown in India and highlights the need for effective communication and support to address the negative impacts of such measures on people's mental health and well-being.