Sentiment Analysis of COVID-19 Public Activity Restriction (PPKM) Impact using BERT Method
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Covid-19 has grown rapidly in all parts of the world and is considered an international disaster because of its wide-reaching impact. The impact of Covid-19 has spread to Indonesia, especially in the slowdown in economic growth. This was influenced by the implementation of Community Activity Restrictions (PPKM) which limited community economic activities. This study aims to analyze the mapping of public sentiment towards PPKM policies in Indonesia during the pandemic based on Twitter data. Knowing the mapping of public sentiment regarding PPKM is expected to help stakeholders in the policy evaluation process for each region. The method used is BERT with IndoBERT specific model. The results showed the evaluation value of IndoBERT f-1 score reached 84 use of SVM f-1 score 70 Bayes evaluation shows f-1 score 83 conclusion, BERT method with the IndoBERT model is proven to be higher than classical methods such as SVM and Multinominal Naïve Bayes.
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