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README.md

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+# NetuArk Posts Classifier (Ensemble Architecture)
+
+This model is a novel ensemble classifier designed to categorize technology-related social media posts into their respective news sources.
+
+## Model Details
+- **Architecture:** Voting Classifier (Multinomial Naive Bayes + Logistic Regression)
+- **Vectorization:** TF-IDF (N-grams 1-3)
+- **Accuracy:** 99.81% on the NetuArk-6000 dataset.
+- **Classes:** HackerNews, TechCrunch, TheVerge, FT, GuardianTech, Slashdot, ArsTechnica.
+
+## Training Data
+Trained on the [Xerv-AI/netuark-posts-6000](https://huggingface.co/datasets/Xerv-AI/netuark-posts-6000) dataset.
+
+## Usage
+```python
+import joblib
+model = joblib.load('netuark_ensemble_classifier.joblib')
+prediction = model.predict(["New AI breakthrough on HackerNews"])
+```