2023
DOI: 10.34010/komputika.v12i1.9638
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Analisis Sentimen Penilaian Masyarakat Terhadap Pejabat Publik Menggunakan Algoritma Naïve Bayes Classifier

Abstract: Umumnya masyarakat Indonesia menyampaikan opini kepada pejabat publik dilakukan dengan melibatkan organisasi masyarakat secara demonstrasi.  Namun, dikarenakan era digital masa kini banyak masyarakat juga yang memilih dalam menanggapi/merespon kinerja pejabat publik dengan menyampaikannya melalui media sosial salah satunya Twitter. Opini masyarakat yang tercatat dalam Twitter dapat digunakan untuk dilakukan analisis secara terstruktur mengggunakan analisis sentiment. Analisis sentiment bertujuan untuk membentu… Show more

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“…Classification methods are an important part of data science and machine learning because they can be used to understand patterns in data, make predictions, and make decisions based on existing data [7]. Some of the reasons why classification methods are important include decision making, prediction, data analysis, object classification, and allow automation of manual and repetitive tasks, thus saving time and human resources [2]. Some commonly used classification methods include Decision Trees, Naive Bayes, k-Nearest Neighbors (k-NN), Support Vector Machines (SVM), and Neural Networks.…”
Section: Introductionmentioning
confidence: 99%
“…Classification methods are an important part of data science and machine learning because they can be used to understand patterns in data, make predictions, and make decisions based on existing data [7]. Some of the reasons why classification methods are important include decision making, prediction, data analysis, object classification, and allow automation of manual and repetitive tasks, thus saving time and human resources [2]. Some commonly used classification methods include Decision Trees, Naive Bayes, k-Nearest Neighbors (k-NN), Support Vector Machines (SVM), and Neural Networks.…”
Section: Introductionmentioning
confidence: 99%
“…Sentiment analysis employs various classification models to discern the emotional tone expressed in text. Naive Bayes, a probabilistic model, assumes word independence, while Support Vector Machines construct a hyperplane for classification [7], [8], [9]. Logistic Regression predicts probabilities using a logistic function, and Random Forests use an ensemble of decision trees.…”
Section: Introductionmentioning
confidence: 99%