ANALISIS SENTIMEN PANDANGAN PUBLIK MENGENAI MOBIL LISTRIK MENGGUNAKAN ADASYN DENGAN ALGORITMA SUPPORT VECTOR MACHINE

ARKAN, MUHAMMAD RUSNAN and Rodiah, Desty (2024) ANALISIS SENTIMEN PANDANGAN PUBLIK MENGENAI MOBIL LISTRIK MENGGUNAKAN ADASYN DENGAN ALGORITMA SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

Climate change and air pollution drive the search for environmentally friendly solutions, such as electric cars. Although they offer benefits like reduced emissions and energy efficiency, public acceptance varies depending on factors like price, infrastructure, and environmental awareness. This study employs the Support Vector Machine (SVM) algorithm as a machine learning model and the ADASYN method to address data imbalance for analyzing public sentiment. The process involves data cleaning using Case Folding, Stopwords, Tokenization, Stemming, and feature extraction with TF-IDF. In this study, the best parameters were found with a C value of 1, using the Radial Basis Function kernel, gamma 0.01, and 673 iterations. The final results show an accuracy of 77%, an improvement from 69% due to the application of the ADASYN method.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis sentimen, mobil listrik, pandangan publik, Support Vector Machine (SVM), TF-IDF, ADASYN.
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Muhammad Rusnan Arkan
Date Deposited:	07 Jan 2025 06:44
Last Modified:	07 Jan 2025 06:44
URI:	http://repository.unsri.ac.id/id/eprint/162884

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