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Indobert Hoax Classification
基於IndoBERT的印尼語虛假新聞分類模型，在未知數據集上微調，準確率達80.59%
Downloads 3,215
Release Time : 8/2/2022
Model Overview
該模型是針對印尼語虛假新聞檢測的文本分類模型，基於IndoBERT-base-p1微調，適用於內容審核和事實核查場景
Model Features
印尼語優化
基於專門針對印尼語預訓練的IndoBERT架構
高準確率
在評估集上達到80.59%的分類準確率
輕量級微調
僅需5個訓練週期即可達到較好效果
Model Capabilities
印尼語文本分類
虛假新聞檢測
內容真實性評估
Use Cases
內容審核
社交媒體虛假信息過濾
自動識別印尼語社交媒體中的虛假新聞
準確識別80%以上的虛假內容
事實核查
新聞真實性驗證
輔助人工核查人員快速篩查可疑新聞
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