Deteksi Hoax Menggunakan Metode Long Short - Memori Jangka (LSTM) dan Gate Recurent Unit (GRU) Di Media Sosial
DION PRATAMA PUTRA
Informasi Umum
Kode
23.04.2556
Klasifikasi
518.1 - Algorithms
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Algorithms, Media Sosial,
Dilihat
308 kali
Informasi Lainnya
Abstraksi
<p>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.</p>
<p><br /> Keywords: Hoax, Twitter, Long Short - Term Memory (LSTM), Gate Recurent Unit (GRU). gloVe</p>
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | DION PRATAMA PUTRA |
| Jenis | Perorangan |
| Penyunting | Erwin Budi Setiawan |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
