DENTAL PATIENT CHIEF COMPLAINT CLASSIFICATION - Dalam bentuk buku karya ilmiah
ARYO HANDONO
Informasi Umum
Kode
23.05.358
Klasifikasi
006.35 - Natural Language Processing, Computer Science
Jenis
Karya Ilmiah - Thesis (S2) - Reference
Subjek
Natural Language Processing
Dilihat
15 kali
Informasi Lainnya
Abstraksi
<p dir="ltr"><b id="docs-internal-guid-f700c521-7fff-f9e9-9dea-9163c4eae2e0">A patient who has dental health problems usually needs assistance on determining the most suitable dental specialist, due to their unfamiliarity with the dental field. Patients need to express the symptoms usually in a natural language text before being recommended to visit a dental specialist. This study proposes a system to classify the dental patient complaints based on the most suitable dental specialist. The problem is tackled as a text classification involving the following methods: CNN, Bi-LSTM, and Multinomial Naïve Bayes. The dataset used contains 2199 items and the experimental results show that the model with the best performance is the combination of GloVe and CNN outperforms Bi-LSTM with Attention layer and Multinomial NB with score accuracy, precision, recall, and F1 score respectively 66% for each of them.</b></p>
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | ARYO HANDONO |
| Jenis | Perorangan |
| Penyunting | Ade Romadhony |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S2 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
