Twitter Sentiment Analysis of Covid-19 Using Term Weighting TF-IDF And Logistic Regresion

Covid-19 attack world population, and has brought much impact in all aspects of life. Stay at home and doing less in terms of social interactions. This can have a negative effect on mental health, so in this study we use sentiment analysis to know about mental health through public opinion on Twitter. Dataset which used in this study in this study is covid-19 tweets collected at 30 April 2020. Essentially, this dataset consists of 355384 tweets reviews. Covid-19 tweets will classify with the Logistic Regression method. Based on this research, the accuracy of the covid-19 tweeets sentiment classification is 94.71%.