KLASIFIKASI DAN ANALISIS SENTIMEN PADA DATA TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES (STUDI KASUS: MATA UANG KRIPTO TKO)

Arya Rangga Pramastya, . (2024) KLASIFIKASI DAN ANALISIS SENTIMEN PADA DATA TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES (STUDI KASUS: MATA UANG KRIPTO TKO). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Twitter is a social media that is currently still popular with the general public. Twitter is an internet-based communication tool between users and a forum for expressing personal views or opinions. There are many aspects that can be expressed on this social media. Several topics can be found on Twitter including cryptocurrencies. Currently there is a lot of discussion about cryptocurrencies on Twitter. Many people express their opinions through tweets in the Twitter feature. One of the most popular cryptocurrencies is TKO. TKO is the first cryptocurrency launched by Indonesia. Based on this background, research on cryptocurrencies will be needed. This research aims to conduct sentiment analysis of public opinions about cryptocurrencies using the Naives Bayes algorithm. Keywords: cryptocurrency, Cryptocurrency, Sentiment Analysis, Naïve Bayes

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1710511054] [Pembimbing: Rio Wirawan] [Penguji 1: Dr. Widya Cholil] [Penguji 2: Muhammad Adrezo]
Uncontrolled Keywords: cryptocurrency, Cryptocurrency, Sentiment Analysis, Naïve Bayes
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: ARYA RANGGA PRAMASTYA
Date Deposited: 11 Oct 2024 03:29
Last Modified: 11 Oct 2024 03:29
URI: http://repository.upnvj.ac.id/id/eprint/33819

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