MAGNET ARCHITECTURE OPTIMIZATION ON MULTI-LABEL TEXT CLASSIFICATION
Multi-label text classification is a matter of categorizing each text into one or more categories. MAGNET is a deep learning model architecture that combines Graph Attention Networks, BiLSTM, and BERT embeddings to address multi-label text classification task. MAGNET utilizes Graph Attention N...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/58050 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |