Informasi Umum

Kode

23.04.2598

Klasifikasi

006.35 - Natural Language Processing, Computer Science

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Natural Language Processing, Memory And Learning,

Dilihat

196 kali

Informasi Lainnya

Abstraksi

<p style="margin-left:34.1pt;"><em>In last 2019, the Covid-19 outbreak was first reported, infecting at least 20.1 million people and killing more than 737,000 people worldwide and still counting. In Indonesia, the government announced that the Covid-19 vaccination is an obligation for everyone. The rapid development of technology has made social media a platform of spreading news. One of the social media that plays an important role is Twitter. The tweets can be shared with other users by re-tweeting process.The greater the number of retweets, the wider the existing information. Therefore, the retweet feature plays a crucial role in spreading information. This study discusses retweet predictions about Covid-19 vaccination using the Long Short-Term Memory (LSTM) method with the application of hyperparameter tuning to obtain the best result and get an accuracy or closeness values (98%),a precision or closeness value (74%), a recall value (91%), and an f-1 score value or a comparison value (93%).</em></p>

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

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Pengarang

Nama ZAHRA FADIAH PUTRI
Jenis Perorangan
Penyunting Jondri, Indwiarti
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