Twitter Users Opinion Classification of Smart Farming in Indonesia

Salim, James Nata and Trisnawarman, Dedy and Imam, Muhammad Choirul Twitter Users Opinion Classification of Smart Farming in Indonesia. Twitter Users Opinion Classification of Smart Farming in Indonesia.

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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.

Item Type: Article
Subjects: Penelitian > Fakultas Teknologi Informasi
Divisions: Fakultas Teknologi Informasi > Sistem Informasi
Depositing User: Puskom untar untar
Date Deposited: 04 Jan 2021 09:49
Last Modified: 04 Jan 2021 09:49
URI: http://repository.untar.ac.id/id/eprint/14181

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