| --- |
| title: Arabic Restaurant Complaints Classifier |
| emoji: 🍽️ |
| colorFrom: green |
| colorTo: blue |
| sdk: gradio |
| sdk_version: 5.0.0 |
| python_version: "3.11" |
| app_file: app.py |
| pinned: true |
| license: mit |
| short_description: Classify Arabic restaurant complaints into 8 categories |
| tags: |
| - arabic |
| - nlp |
| - classification |
| - bert |
| - saudi |
| - dialectal-arabic |
| models: |
| - CAMeL-Lab/bert-base-arabic-camelbert-mix |
| - UBC-NLP/MARBERT |
| - aubmindlab/bert-base-arabertv02 |
| language: |
| - ar |
| --- |
| |
| # Arabic Restaurant Complaints Classifier |
|
|
| Classify Arabic restaurant complaints into 8 actionable categories. Saudi-Gulf dialect specialization. |
|
|
| ## Performance |
|
|
| | Metric | Value | |
| |---|---:| |
| | Test accuracy | 95.05% | |
| | Test weighted F1 | 95.08% | |
| | Test macro F1 | 92.03% | |
| | Min class F1 (عامة) | 84.84% | |
|
|
| ## Categories |
|
|
| | Arabic | English | |
| |---|---| |
| | التوصيل | Delivery | |
| | السعر والقيمة | Price / value | |
| | النظافة | Cleanliness | |
| | جودة الطعام | Food quality | |
| | خدمة الموظفين | Staff service | |
| | دقة الطلب | Order accuracy | |
| | عامة | General | |
| | وقت الانتظار | Wait time | |
|
|
| ## Source |
|
|
| https://github.com/FerasMad/NLP-complaints-system |
|
|
