REGION AND TIME WISE TWITTER BASED PCR ANALYSIS: A COMPARATIVE RESEARCH ON PEOPLE’S SERIOUSNESS TOWARDS COVID-19

Abstract

As we all are living in pandemic covid19, which is affecting every perspective of daily life. Every class is badly suffering from this disease. It has been a subject of discussion since 2019 due to the increased prevalence of social media and its extensive use and it has been a source of tension, fear, and disappointment for people all over the world. In this research, we have taken the covid19 tweets data of ten different regions including United States of America, Pakistan, India, China, South Africa, Philippines, United Kingdom, Switzerland, Philippines, and Ireland with timespan of 25th July of 2020 to 29th august of 2020. Using the common word embedding technique count vectorizer, we experimented with different classifiers on data to train deep neural networks to improve the accuracy rate for predicting emotions. We assigned sentiments with highest accuracy rate. After mining the opinions of these regions about covid19, we have collected the PCR results of these regions. we have compared the percentage of opinion in form of positive or negative responses with percentage of per million PCR covid results of these regions. After this region and time wise twitter-based PCR analysis, we came to know that how much these regions are serious for pandemic. Also, we figured out a real time international measure to detect these region’s seriousness for any future pandemic. This research can help the administrations of different regions for taking wise and suitable steps for controlling spread of any outgoing and upcoming pandemic.