ANALISIS SENTIMEN TERHADAP KONFLIK RUSIA-UKRAINA DI MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES
Online social networks (OSNs) play an important role in sharing information in the event of a crisis. The sampel collected during such a crisis can largely reflect public opinion and sentiment. In addition, you can use OSN sample to investigate the different campaigns that different organizations us...
Saved in:
Main Author: | Lois Mikael Camdesus, (Author) |
---|---|
Format: | Book |
Published: |
2023-07-17.
|
Subjects: | |
Online Access: | Link Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ANALISIS SENTIMEN KLUB SEPAKBOLA PERSIJA JAKARTA PADA SOSIAL MEDIA TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES
by: Bagas Guseza Antito,
Published: (2022) -
ANALISIS SENTIMEN TERHADAP VAKSIN COVID-19 DI JEJARING SOSIAL TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES
by: Rizal Al Habsi,
Published: (2021) -
SENTIMEN ANALISIS PENGGUNA TWITTER TERHADAP KEBIJAKAN MERDEKA BELAJAR MENGGUNAKAN ALGORITMA NAÏVE BAYES
by: Herlambang Dwi Prasetyo,
Published: (2021) -
ANALISIS SENTIMEN TERHADAP LAYANAN SHOPEEFOOD PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES
by: Muhamad Farhan Purnomo Adjie,
Published: (2023) -
ANALISIS SENTIMEN TENTANG UU CIPTA KERJA MENGGUNAKAN ALGORITMA NAÏVE BAYES
by: I Gusti Naufhal Daffa Adnyana,
Published: (2021)