Sentiment Analysis of Support for the DPR's Right to Inquiry on the Issue of 2024 Election Fraud Using the Support Vector Machine Method

Sephia, Putri Aisyah (2024) Sentiment Analysis of Support for the DPR's Right to Inquiry on the Issue of 2024 Election Fraud Using the Support Vector Machine Method. Journal La Multiapp.

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Abstract

This research aims to analyze public sentiment towards supporting the DPR's right to inquiry in the 2024 Election fraud issue using the Support Vector Machine (SVM) method. Data was obtained from the social media application X which has a wide user base and is relevant to the issue under study. Comments on the application are classified into positive and negative sentiments after going through the pre-processing stage. The SVM method was chosen because of its high ability in text classification based on appropriate kernels. This research shows how much influence the X application has in identifying public sentiment and the effectiveness of the SVM method in sentiment classification. It is hoped that the research results will provide in-depth insight into public sentiment regarding the issue of fraud in the 2024 elections and support better decision making in the context of politics and democracy in Indonesia

Jenis Item:	Artikel
Subjects:	000 Generalities > 003 Systems
Divisions:	Fakultas Sains dan Teknologi > Ilmu Komputer
Pengguna yang mendeposit:	Mrs Siti Masitah
Date Deposited:	22 Jan 2025 04:53
Last Modified:	22 Jan 2025 04:53
URI:	http://repository.uinsu.ac.id/id/eprint/23667

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