SMS Spam Detection System

With the incremental use of text messages as an essential and popular communication mean over the Internet, there comes a serious threat that impacts the Internet and the society. This problem is known as spam. This project aims to detect spam messages using machine learning techniques. Τhe experimental results confirm that the proposed system can achieve remarkable results in terms of accuracy, precision, and recall.

Tech/framework used

• jupyter notebook
• anacoda
• python 3.7
• matplotbil
• seaborn
• numpy
• pandas
• nltk
• re
• string
• sklearn
• wordcloud

Installation

Install Jupyter using Anaconda and conda from the link below:
https://jupyter.readthedocs.io/en/latest/install.html#id3

How to use?

1. Open the terminal
2. Type git clone https://github.com/PanPapag/SMS-Spam-Detection-System.git to clone the repository to your local machine
3. Type jupyter notebook
4. Select from SMS-Spam-Detection-System folder the sms_spam_detection.ipynb file
5. Run it

License

This project is licensed under the MIT License.

MIT © PanPapag