Analisis Sentimen Komentar terhadap JNE Menggunakan Metode K-Nearest Neighbor (KNN) pada Twitter

Ricky Renaldo Arisandi, RR and Sumarno, Sumarno and Hamzah Setiawan, HS Analisis Sentimen Komentar terhadap JNE Menggunakan Metode K-Nearest Neighbor (KNN) pada Twitter. Universitas MuhammadiyahSidoarjo, Indonesian Journal of Innovation Studies.

Text Comment Sentiment Analysis of JNE Using K-Nearest Neighbor (KNN) Method on Twitter (1).pdf Download (7MB)

Abstract

Social media has evolved into a prominent public space for virtual criticism, particularly on platforms like Twitter, facilitated by widespread smartphone usage. Netizens utilize Twitter as an effective communication channel due to its accessibility and vast reach. This study focuses on sentiment analysis of comments from the public on Twitter, aiming to expedite the acquisition of accurate information about the general sentiment towards JNE (a logistics company). The K-Nearest Neighbor (KNN) classifier is employed, employing the TF-IDF weighting method to classify Indonesian language comments and assess the achieved accuracy.

Item Type:	Other
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering > School of Computer Engineering
Depositing User:	Mr hamzah hamzah
Date Deposited:	27 Feb 2024 10:06
Last Modified:	27 Feb 2024 10:06
URI:	http://eprints.umsida.ac.id/id/eprint/13438

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