Abstract
In 2020 the world will be shocked by an outbreak of a disease that has developed tremendously. This disease is the Coronavirus. The Indonesian government, in overcoming conducted a Rapid early detection test in the spread of the Coronavirus. The steps of the Indonesian government have received rejection in several areas because people consume hoax news on social media. Indonesians widely use Twitter in conversations about the Coronavirus. Previous research was carried out using large-scale data, which affected the performance of the topic extraction method. The classification used resulted in poor accuracy using LDA to find the probability of topics in existing documents. LDA excels in large-scale data processing and is more consistent in generating the topic proportion value and word probability. Aspect-based sentiment analysis on public opinion regarding the rapid test on Twitter using LDA can determine aspects and public opinion on the rapid test. The test results of this study obtained 7000 tweets, four aspects of the results of topic using LDA, and getting the best accuracy using the RBF kernel by 95%. The sentiment of the Indonesian people towards the Rapid test is positive, with 4,305 sentiments.
Highlights
In 2020 the world will be shocked by an outbreak of a disease that has developed tremendously
Computational studies of opinions, sentiments, and emotions expressed in the text are called sentiment analysis or opinion mining that focuses on classification issues
Per day in September 2020, the Government of In previous related research [6], there are weaknesses in Indonesia conducts rapid tests for early detection in the classification accuracy using Naïve Bayes, which is not spread of the Coronavirus [1], [2]
Summary
In 2020 the world will be shocked by an outbreak of a disease that has developed tremendously. Per day in September 2020, the Government of In previous related research [6], there are weaknesses in Indonesia conducts rapid tests for early detection in the classification accuracy using Naïve Bayes, which is not spread of the Coronavirus [1], [2]. Indonesian government's move to reduce the death rate resulting in an accuracy percentage of 50% This caused by the Coronavirus has been denied rapid tests in happens in conducted research [7] because it is not using some areas because the public has been wrong in weighting features to affect the performance of the SVM consuming hoax news circulating on social media [3]. With the corona pandemic globally, Twitter social media is recorded as the most widely used by Indonesians in discussions around the Coronavirus or 45.8%based on research from Zanroo Indonesia conducted on June 16 to 30, 2020
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