Analysis of Fake Reviews Using Graph Convolutional Network on E-Commerce Platform - Dalam bentuk buku karya ilmiah
ANGGI RODESA SASABELLA
Informasi Umum
Kode
24.04.4118
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Data Science
Dilihat
524 kali
Informasi Lainnya
Abstraksi
Product reviews on e-commerce platforms are critical in guiding users' purchasing decisions, but the<br /> prevalence of fake reviews poses a significant risk to consumers. This research focuses on detecting fake<br /> reviews on the Shopee platform in Indonesia using a Graph Convolutional Network (GCN) approach. Real<br /> and fake review data is transformed into a graph, with TF-IDF and PMI techniques used to form edges that<br /> represent relationships between sentences. GCN is then applied to analyze these relationships, identifying<br /> words and sentences labeled as “Fake”. In addition, this study also examines strong relationships between<br /> words or sentences in fake reviews to uncover deeper patterns and relationships, which provide valuable<br /> insights into the characteristics of fake reviews. The GCN model achieved an F1 score of 0.8919, obtained<br /> through 100 epochs, with 16 hidden layers, and using a total of 206 reviews as data, demonstrating its<br /> effectiveness in detecting fake reviews.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | ANGGI RODESA SASABELLA |
| Jenis | Perorangan |
| Penyunting | Imelda Atastina |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika (International Class) |
| Kota | Bandung |
| Tahun | 2024 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
