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updated README
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README.md

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## Project Structure
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- `classifier/`: Contains the different classifiers (Naive Bayes, Random Forest, SVM).
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- `classifiers/`: Contains the different classifiers (Naive Bayes, Random Forest, SVM).
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- `data/`: Contains the sample dataset for training the classifiers.
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- `loading_and_processing/`: Contains utility functions for loading and preprocessing data.
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- `models/`: Contains the trained models and their vectorizers.

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