Analisis Sentimen Pengguna Twitter Terhadap Program Makan Siang Gratis Menggunakan Metode Naïve Bayes

Kusuma, Zona Arya and , Widi Widayat, S.Kom., M.Eng. (2024) Analisis Sentimen Pengguna Twitter Terhadap Program Makan Siang Gratis Menggunakan Metode Naïve Bayes. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Twitter is a social media platform that allows interaction without restrictions. Many topics are discussed on Twitter, including the free lunch program which is part of the agenda of the presidential and vice presidential candidate pairs. This research aims to analyze sentiment related to free lunch programs using Naïve Bayes classification. Before classification, several preprocessing stages were carried out. The results of the study used 1008 datasets that were executed using the python programming language. Evaluation is done using Confusion Matrix resulting in 89% accuracy, 90% precision, 90% recall, and 89% F1-score with 80% division for training and 20% testing. Accuracy of 89% indicates that the overall model works well in classifying tweets. Recall 90% shows the model's ability to capture almost all instances of the positive class, proving minimal errors in the form of False Negative. Precisioun 90% shows that when the model predicts tweets, 90% of the predictions are correct. F1-Score of 89% proves a balance between precision and recall, showing consistent performance of the model in sentiment classification.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Sentiment Analysis, Twitter, Naïve Bayes.
Subjects:	T Technology > TZ Technical Information
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	ZONA ARYA KUSUMA
Date Deposited:	06 Aug 2024 02:55
Last Modified:	06 Aug 2024 02:55
URI:	http://eprints.ums.ac.id/id/eprint/125874

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