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README.md
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license: mit
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---
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license: mit
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---
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# Orthogonal Model of Emotions
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## Author
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C.J. Pitchford
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## Published
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18 June 2025
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## Usage
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# Load the model and vectorizer
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def load_model_and_vectorizer(model_path='naive_bayes_model.pkl', vectorizer_path='vectorizer.pkl'):
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model = joblib.load(model_path)
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vectorizer = joblib.load(vectorizer_path)
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return model, vectorizer
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# Function to predict the label of a new text
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def predict_label(text, model, vectorizer):
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text_vec = vectorizer.transform([text])
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prediction = model.predict(text_vec)
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return prediction[0]
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# Example usage
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if __name__ == "__main__":
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model, vectorizer = load_model_and_vectorizer()
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new_text = "I really, really hope this works."
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predicted_label = predict_label(new_text, model, vectorizer)
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print(f'The predicted label for the text is: {predicted_label}')
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