Abstract
In the past year, Indonesia has digitalized agriculture called “Smart Farming” or “Agriculture 4.0” to follow the era of the industrial revolution 4.0. Public opinion on social media is a strong factor in determining whether or not smart farming is implemented in Indonesia. So the purpose of this research is to find data from Twitter and then analyzed using the sentiment analysis method, which will be classified using Naïve Bayes method. This process starts with searching data on Twitter, preprocessing text, classification, and finally testing. The accuracy testing results gives a value of 0.97, and Recall produces a value of 1.0, F1 produces a value of 0.98 and an AUC value of 0.5.
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