A study on the impact of Corona Virus and it’s mutants in India using machine learning algorithms

J. Padmavathi; V. Raja

doi:10.53730/ijhs.v6nS3.6748

Authors

J. Padmavathi Associate Professor, Department of Computer Science & Application, SRMIST, Chennai, India
Raja V. Assistant Professor, Department of Computer Science & Application, SRMIST, Chennai, India

Keywords:

corona virus, logistic regression, machine learning algorithms, naïve bayes, sentiment analysis , social media, support vector machine, twitter

Abstract

With the advent growth of technology, large volumes of data are available in the internet for researchers to explore. Social Media is one such platform that helps researchers in analyzing various data for various reasons such as improved Customer Service, development of quality Products. , discovering New Marketing Strategies, improve Media Perceptions and much more. The Social networking sites such as Facebook, Twitter, Instagram are being used by people on a large scale to share and express their views in the form of text, emoji and post. This data is used for sentiment analysis. This paper aims at analyzing the human sentiments and emotions in the second wave of Corona virus in India and about the awareness of vaccination using twitter data. Machine learning algorithms such as Naïve Bayes, Logistic Regression and Support Vector Machine were implemented on the twitter data set. As the pandemic situation has created an alarming situation with new symptoms, the disease has affected many in India. This study will assist the government agencies and health care volunteers to better assess the mental state of public and to bring more awareness on safe and secured living by adapting precautionary measures.

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