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Sentiment Analysis of Covid-19 Related Contents in Microblogs
2021
Journal of innovative science and engineering
With the emergence of Web 2.0, internet users share their feelings, thoughts and ideas with other people using social networks. Understanding people's thought analysis is important for examining marketing and user feedback in social networks. For this reason, sentiment analysis on social networks with machine learning algorithms is a popular field of study. Our study is based on the sentiment analysis of people against the new coronavirus, which affects the world. People can have different
doi:10.38088/jise.935963
fatcat:l6sx5vcrxvhi3nffi5h7ar2oyy