23.04.2598
006.35 - Natural Language Processing, Computer Science
Karya Ilmiah - Skripsi (S1) - Reference
Natural Language Processing, Memory And Learning,
196 kali
<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>
Tersedia 1 dari total 1 Koleksi
Nama | ZAHRA FADIAH PUTRI |
Jenis | Perorangan |
Penyunting | Jondri, Indwiarti |
Penerjemah |
Nama | Universitas Telkom, S1 Informatika |
Kota | Bandung |
Tahun | 2023 |
Harga sewa | IDR 0,00 |
Denda harian | IDR 0,00 |
Jenis | Non-Sirkulasi |