Deteksi Hoax Menggunakan Metode Long Short - Memori Jangka (LSTM) dan Gate Recurent Unit (GRU) Di Media Sosial

DION PRATAMA PUTRA

Informasi Dasar

99 kali
23.04.2556
518.1
Karya Ilmiah - Skripsi (S1) - Reference

There is a negative influence from the ease with which information can be obtained in today's society, with one example being the proliferation of internet hoaxes. To the tune of 92.40 percent, social media platforms like Twitter are utilized to disseminate hoaxes. Launched on July 13, 2006, Twitter is a microblogging service on which users may disseminate information at no cost to themselves or others. This research will use the Long Short-Term Memory (LSTM) technique, together with Gate Recurrent Unit (GRU) and gloVe feature expansion, to identify false stories shared on the social media platform Twitter.


Keywords: Hoax, Twitter, Long Short - Term Memory (LSTM), Gate Recurent Unit (GRU). gloVe

Subjek

ALGORITHMS
MEDIA SOSIAL,

Katalog

Deteksi Hoax Menggunakan Metode Long Short - Memori Jangka (LSTM) dan Gate Recurent Unit (GRU) Di Media Sosial
 
 
Indonesia

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

DION PRATAMA PUTRA
Perorangan
Erwin Budi Setiawan
 

Penerbit

Universitas Telkom, S1 Informatika
Bandung
2023

Koleksi

Kompetensi

 

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