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All Journal Jurnal Informasi dan Komputer
Putri, Ni Putu Meliyoni Anggara
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics Other

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ANALISIS SENTIMEN PADA MEDIA SOSIAL TWITTER TERHADAP KEPOLISIAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Rahayu, Prastyadi Wibawa; Gunawan, Putu Wida; Ardiada, I Made Dwi; Putri, Ni Putu Meliyoni Anggara
Jurnal informasi dan komputer Vol 12 No 02 (2024): Jurnal Informasi dan Komputer yang terbit pada tahun 2024 pada bulan 10 (Oktobe
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v12i02.546

Abstract

Sentiment analysis is one of the sciences in Text Mining which focuses on the classification of text documents that contain opinions or thoughts from the public. This research aims to gain an understanding of the public's views on the police through tweets posted on the social media Twitter. This research uses the Support Vector Machine algorithm. The text document used uses two labels, namely: positive and negative. In this research, 303 data were used and testing was carried out using the Confusion Matrix. The results of this study show that negative review polarization has a higher dominance compared to positive polarization, namely negative reviews are 51.16% while positive reviews are 48.84%. The results of the Confusion Matrix testing that was carried out obtained an accuracy rate of 54.10%, negative precision 56.41%, positive precision 50%, negative recall 66.67% and positive recall 39.29%.
Co-Authors I Made Dwi Ardiada Prastyadi Wibawa Rahayu Putu Wida Gunawan