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README.md
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@@ -61,6 +61,39 @@ print(classification_report(y_test, y_pred))
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```
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4. Training a new dataset with pre-trained model
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<br>To test a new dataset,
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```
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4. Training a new dataset with pre-trained model
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<br>To test a new dataset, follow the steps below:
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- Clean the Dataset
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```python
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from data_cleaning import clean
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# Load your dataset
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df = pd.read_csv('test_data_random_subset.csv')
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# Clean the data
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cleaned_df = clean(df)
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```
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- Extract TF-IDF Features
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```python
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from tfidf import tfidf
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# Transform the cleaned dataset
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X_new_tfidf = tfidf.transform(cleaned_df['title'])
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```
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- Make Predictions
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```python
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from svm import svm_model
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# Make predictions
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predictions = svm_model.predict(X_new_tfidf)
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# Add predictions to the dataset
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cleaned_df['predictions'] = predictions
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print(cleaned_df[['title', 'predictions']])
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```
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