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README.md

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# SMSSpamTextClassifier
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SMS Spam Text Classifier
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Overview
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This project implements a machine learning-based SMS spam detection system. It classifies incoming text messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and supervised learning algorithms.
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Features
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Preprocessing of SMS text (tokenization, stopword removal, stemming)
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Feature extraction using TF-IDF or Bag of Words
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Model training with algorithms like Naive Bayes, Logistic Regression, or SVM
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Evaluation metrics: Accuracy, Precision, Recall, F1-score
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Easy-to-use script for predictions on new messages
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Project Structure
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SMSSpamTextClassifier/
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├── data/ # Dataset (e.g., SMS Spam Collection)
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├── notebooks/ # Jupyter notebooks for EDA and model training
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├── src/ # Source code for preprocessing and model pipeline
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├── models/ # Saved trained models
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├── requirements.txt # Python dependencies
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└── README.md # Project documentation
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Installation
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Clone the repository:
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Shellgit clone https://github.com/Mulla6518/SMSSpamTextClassifier.gitcd SMSSpamTextClassifierShow more lines
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Train the model:
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Shell python script.py --data spam.csv
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Dataset
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Uses the SMS Spam Collection Dataset.
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License
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This project is licensed under the MIT License.

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