Coronavirus Sentiment Analysis In Indonesia To Counter Hoax Content
Muhammad L. L. Usman, Asep A. Supriyadi

Indorama Engineering Polytechnic, Indonesia Defense University

Abstract

COVID-19 or better known as Coronavirus is a virus that is categorized as a global pandemic by the World Organisation Of Health or WHO. The Center for System Science and Engineering (CSSE) at Johns Hopkins University said there were 128,343 confirmed cases, 4,720 deaths, and 68,324 recovered. The cases that occurred in Indonesia from the data showed 34 confirmed cases, 1 death and 1 were recovered 2. In the middle of the coronavirus outbreak, there was another problem, which was the hoax content that was spread, which in CNN news mentioned that there were 196 contents successfully captured by the ministry. communication and information. The amount of hoax content spread can be fought using informative content that is factual. Dissemination of positive content must also have a strategy using information that is being widely discussed by the public. Twitter sentiment analysis using text mining can inform what sentiments and information are being talked about on Twitter social media. Twitter sentiment analysis can then be a means of determining what topics will be made into positive content to combat hoax content. The distribution of content can be carried out by the Ministry of Communication and Information and other media.

Keywords: Coronavirus, Sentimen Analysis, Twitter, Hoax

Topic: Information Engineering