Image Caption Validation for Public Complaints on Social Media
NAUFAL EDY PURWANTONO SCUDETTO
Informasi Umum
Kode
23.04.2589
Klasifikasi
006.37 - Computer Vision
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Image Processing - Computer Vision, Social Media,
Dilihat
380 kali
Informasi Lainnya
Abstraksi
<p>Image Caption Validation is the task of validating whether a caption matches the image provided. The result of this task can reduce distress by validating complaints conveyed from the local community. In this paper, we introduce a custom data set of Indonesian public complaints that consists of floods and littering complaints from Twitter. We used a fine-tuned VGG16 model for image classification and an IndoBERT Model (Indonesian Bert Model) for text classification. Both of these models were combined to into a system that validates whether a given caption accurately describes the image. The experimental result showed that the fine-tuned VGG16 had an accuracy score of 93% ,the IndoBERT Model had an accuracy of 89%, and the Validation Output Prediction Model had an accuracy of 56%.</p>
<p><strong>Keywords</strong> : image caption validation, image classification, text classification, fine-tuned VGG16, indoBERT, validation output prediction model</p>
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | NAUFAL EDY PURWANTONO SCUDETTO |
| Jenis | Perorangan |
| Penyunting | Ade Romadhony |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika (International Class) |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
