Geospatial Sentiment Analysis Using Twitter Data on Natural Disasters in Indonesia with Support Vector Machine (SVM) Algorithm - Dalam bentuk pengganti sidang - Artikel Jurnal
MUHAMAD AGUNG NULHAKIM
Informasi Umum
Kode
25.04.503
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Tugas Akhir
Dilihat
56 kali
Informasi Lainnya
Abstraksi
<span style="left: 212.883px; top: 596.657px; font-size: 15.2px; font-family: sans-serif; transform: scaleX(0.858711);">Twitter serves as a crucial platform for expressing public sentiment during natural disasters, yet </span><span style="left: 212.883px; top: 615.057px; font-size: 15.2px; font-family: sans-serif; transform: scaleX(0.877751);">understanding and addressing these sentiments remains challenging due to data volume, imbalance, </span><span style="left: 212.883px; top: 633.857px; font-size: 15.2px; font-family: sans-serif; transform: scaleX(0.878439);">and regional disparities in response. This study aims to bri</span><span style="left: 575.033px; top: 633.857px; font-size: 15.2px; font-family: sans-serif; transform: scaleX(0.859992);">dge this gap by conducting geospatial </span><span style="left: 212.883px; top: 652.257px; font-size: 15.2px; font-family: sans-serif; transform: scaleX(0.903192);">sentiment analysis on 988 labeled tweets related to the eruption of Mount Marapi, categorized into </s
- CII4E4 - TUGAS AKHIR
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | MUHAMAD AGUNG NULHAKIM |
| Jenis | Perorangan |
| Penyunting | Yuliant Sibaroni |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
