SENTIMEN ANALISIS TERHADAP KEBIJAKAN PEMBELAJARAN JARAK JAUH SELAMA PANDEMI COVID-19 MENGGUNAKAN ALGORITMA NAÏVE BAYES

Darsono Nababan
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Abstract

Social media is a means to convey aspirations directly, but every aspiration is from social media users. Everyone who expresses opinions on social media contains positive, negative, and neutral sentiments. The implementation of the Ministry of Education and Culture's policy on the implementation of distance learning policies during the pandemic COVID-19 received various responses from the people of Indonesia. neutral as many as 894 comments, then 52 comments with negative sentiment, and 32 comments with positive sentiment with an accuracy value of 98.79%
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在COVID-19大流行期间使用NAIVE BAYES算法对远程学习政策的分析
社交媒体是一种直接传达愿望的手段,但每一个愿望都来自社交媒体用户。每个在社交媒体上发表意见的人都有积极的、消极的和中立的情绪。教育和文化部关于在2019冠状病毒病大流行期间实施远程学习政策的政策得到了印度尼西亚人民的各种回应。中性评论多达894条,负面情绪评论52条,正面情绪评论32条,准确率为98.79%
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