Sentiment Analysis on 2024 Regional Elections using Hybrid CNN-SVM with Semantic Features and Word2Vec - Dalam bentuk buku karya ilmiah
SYAHBILLA PUTRI ANDINNY
Informasi Umum
Kode
25.04.387
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Data Science
Dilihat
189 kali
Informasi Lainnya
Abstraksi
Regional Head Election is a political agenda held<br /> every five years. Everyone has their point of view on assessing<br /> the candidates. These political conversations often appear on<br /> platform X, a social media to exchange information, responses,<br /> comments, and even emotions. These public expressions can be<br /> classified into positive, negative, and neutral sentiments. This<br /> political phenomenon is the object of research to understand a<br /> hybrid deep learning model that combines Convolutional<br /> Neural Network (CNN) and Support Vector Machine (SVM),<br /> enhanced with TF-IDF extraction features, IndoBERT<br /> semantics to understand the deeper context of Indonesian text<br /> and Word2Vec that represents words in the form of vectors with<br /> similar meanings against testing on three corpus X, IndoNews,<br /> and X+IndoNews. This research analyzes the perspectives of<br /> Indonesian social media users surrounding the 2024 Regional<br /> Elections using 60,000 Indonesian tweet
Koleksi & Sirkulasi
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Pengarang
| Nama | SYAHBILLA PUTRI ANDINNY |
| Jenis | Perorangan |
| Penyunting | Erwin Budi Setiawan |
| 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 |
