ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP CALON PRESIDEN INDONESIA 2024 MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Siraj, Labib Aqil (2023) ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP CALON PRESIDEN INDONESIA 2024 MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.

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Item Type: Thesis (S1 - Sarjana)
Contributor:
Pembimbing
Baita, Anna
Uncontrolled Keywords: Sentimen Analisis, Support Vector Machine, Tweet
Subjects: 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 000 Ilmu komputer, informasi dan pekerjaan umum
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: RC Universitas AMIKOM Yogyakarta
Date Deposited: 14 Apr 2023 02:25
Last Modified: 01 Aug 2023 07:01
URI: http://eprints.amikom.ac.id/id/eprint/18593

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