SES Industry Email Classifier (BERT Japanese) 🎯 A BERT based model for automatically classifying business emails in Japan's SES (System Engineering Service) industry This model classifies emails commonly exchanged in Japan's IT staffing industry with high accuracy, enabling automated email routing and workflow optimization. 📊 Performance Metric Score Accuracy 99.51% F1 (weighted) 0.99 Precision (weighted) 1.00 Recall (weighted) 1.00 Per Class Performance Class Precision Recall F1 Score Support 案件 (Project) 1.00 1.00 1.00 486 要員 (Talent) 0.99 1.00 1.00 721 その他 (Other) 1.00 0.60 0.75 15 📌 Model Overview Item Description Base Model tohoku nlp/bert base japanese v3 Task 3 class classification Language Japanese Max Input 512 tokens (~1000 characters) Training Data ~4,900 SES industry emails Test Data ~1,200 emails (held out) 🏷️ Classification Labels ID Label Description Example 0 案件 (Project) Project/job opportunity postings "【案件】PM募集 60万〜 新宿 即日" 1 要員 (Talent) Engineer/talent introduction "【ご紹介】インフラエンジニア 30代" 2 その他 (Other) Other business emails Meeting requests, general correspondence 🚀 Usage Pipeline (Recommended) Direct Model Usage Batch Processing 🎓 Training Details Training Da…
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