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--- |
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language: id |
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tags: |
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- machine-learning |
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- classification |
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- SVM |
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- sentiment-analysis |
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license: mit |
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datasets: |
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- private-dataset |
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model-index: |
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- name: SentimenNFT-SVM |
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results: [] |
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--- |
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# 🧠 SentimenNFT-SVM |
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Model ini dilatih untuk melakukan analisis sentimen terhadap tweet berbahasa Indonesia yang membahas NFT pada blockchain Solana, menggunakan metode Support Vector Machine (SVM). |
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## 📚 Dataset |
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Dataset bersifat privat dan dikumpulkan dari media sosial X (Twitter). |
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## 🛠️ Cara Pakai |
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```python |
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from joblib import load |
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model = load("model.pkl") |
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prediction = model.predict(["NFT ini sangat menjanjikan!"]) |
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print(prediction) |
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``` |
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## 📊 Performa |
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- Akurasi validasi: 85% |
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- F1-score: 0.82 |
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## 📜 Lisensi |
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MIT License |
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## ✨ Kontributor |
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- [@username](https://huggingface.co/username) |
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