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All Journal Prosiding Seminar Nasional Teknoka Jurnal Linguistik Komputasional
Fajar Sidik
Universitas Muhammadiyah Prof. Dr. Hamka
Computer Science & IT Engineering

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Journal : Jurnal Linguistik Komputasional

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Analysis Sentiment of Community Response on Cooking Oil Price Increase Policy With Naive Bayes Classifier Algorithm Firman Noor Hasan; Fajar Sidik; Prista Afikah
Jurnal Linguistik Komputasional Vol 5 No 2 (2022): Vol. 5, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v5i2.99

Abstract

Cooking oil is a basic need for Indonesian people. Indonesia experienced a shortage of oil in March 2022. This has become a hot conversation on Twitter social media last March, many people think positively or negatively. But behind it all there are different assessments of the parties who feel the pros and cons, various parties have different points of view. In this article, we conduct a sentiment analysis on the public's response to the scarcity of cooking oil using a dataset obtained from the Twitter digital platform. This article aims to classify tweets related to the scarcity of cooking oil into positive and negative sentiments using a machine learning strategy using the Naive Bayes method. This algorithm was chosen to make it easier for the public to make choices and to know the level of accuracy of the method, where the level of accuracy obtained from the nave Bayes classifier method 72%.
Co-Authors Firman Noor Hasan Prista Afikah Rasiyah Shafa Azizah Reza Kurnia Khoirunisa Rizka Nisa Aqila