https://github.com/ehtisham-sadiq/spam-sms-classification

Spam SMS Classification is designed to help users identify and filter out unwanted SMS messages. By employing state-of-the-art machine learning models, the project is capable of automatically categorizing incoming text messages as spam or legitimate.
https://github.com/ehtisham-sadiq/spam-sms-classification

algorithms classification machine-learning natural-language-processing streamlit text-classification

Last synced: 25 days ago
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Spam SMS Classification is designed to help users identify and filter out unwanted SMS messages. By employing state-of-the-art machine learning models, the project is capable of automatically categorizing incoming text messages as spam or legitimate.

• Host: GitHub
• URL: https://github.com/ehtisham-sadiq/spam-sms-classification
• Owner: ehtisham-sadiq
• Created: 2022-08-19T15:16:26.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-18T13:24:38.000Z (over 1 year ago)
• Last Synced: 2024-11-12T11:15:15.631Z (3 months ago)
• Topics: algorithms, classification, machine-learning, natural-language-processing, streamlit, text-classification
• Language: Jupyter Notebook
• Homepage:
• Size: 758 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Spam SMS Classification

### Project Description:

Spam SMS Classification is an end-to-end project aimed at tackling the ever-growing issue of unsolicited and unwanted text messages. Leveraging machine learning techniques, this project efficiently classifies SMS messages as either spam or legitimate, providing users with a valuable tool to filter out unwanted content. With a focus on enhancing user experience and reducing the clutter in SMS inboxes, Spam SMS Classification stands as a practical solution in the fight against SMS spam.

### Features

- Accurate classification of SMS messages as spam or legitimate.

- Easy integration with SMS applications.

- Enhanced user experience by reducing SMS clutter.

- Robust machine learning models for efficient spam detection.

### Explore the following project topics to gain a deeper understanding of Spam SMS Classification:

- Machine Learning for Text Classification

- Integration with SMS Applications

- Enhancing User Experience

- Spam Detection Techniques