https://github.com/manulthanura/spam-classification-using-nlp

Spam Classification using NLP
https://github.com/manulthanura/spam-classification-using-nlp

machine-learning spam-classification

Last synced: 3 months ago
JSON representation

Spam Classification using NLP

• Host: GitHub
• URL: https://github.com/manulthanura/spam-classification-using-nlp
• Owner: manulthanura
• Created: 2023-03-04T02:20:27.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-10-08T01:28:15.000Z (almost 2 years ago)
• Last Synced: 2025-02-07T08:17:01.743Z (5 months ago)
• Topics: machine-learning, spam-classification
• Language: Jupyter Notebook
• Homepage:
• Size: 409 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Spam-Classification-using-NLP

![Static Badge](https://img.shields.io/badge/Repo-Spam_Classification_using_NLP-orange)

![GitHub Repo stars](https://img.shields.io/github/stars/manulthanura/Spam-Classification-using-NLP?color=yellow)

Spam classification using NLP is a technique that uses Natural Language Processing (NLP) to classify emails or messages as spam or not spam. The technique involves analyzing the text of the message and extracting features that can help identify whether the message is spam or not. These features can include the presence of certain words or phrases, the length of the message, the use of capital letters, and other characteristics. The extracted features are then used to train a machine learning model that can classify new messages as spam or not spam. This technique is widely used in email filtering systems and messaging applications to prevent unwanted messages from reaching the user's inbox.

Data Set - [spam.csv](./spam.csv) 


Model - [Spam Classification using NLP.ipynb](./Spam_Classification_using_NLP.ipynb)