Analisis Sentimen Pengguna Twitter Menggunakan Support Vector Machine Pada Kasus Kenaikan Harga BBM

Analisis Sentimen Pengguna Twitter Menggunakan Support Vector Machine Pada Kasus Kenaikan Harga BBM

Twitter is one of the social media with the most active users, which is 24 million active users. Information published on twitter contains comments from users on an object. Sentiment analysis is used to determine whether the data includes negative comments or positive comments because the comments t...

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Bibliographic Details
Main Authors: Rahadi Ramlan, Neva Satyahadewi, Wirda Andani
Format: Article
Language:English
Published: Department of Mathematics, Universitas Negeri Gorontalo 2023-08-01
Series:Jambura Journal of Mathematics
Subjects:
comment
twitter
preprocessing
sentiment
support vector machine
fuel price
Online Access:https://ejurnal.ung.ac.id/index.php/jjom/article/view/20860

Internet

https://ejurnal.ung.ac.id/index.php/jjom/article/view/20860

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