DevWaqarAhmad/Spam-SMS-Email-Classifier
The Spam SMS/Email Classifier is an NLP-based machine learning model designed to automatically detect whether a given SMS or Email is spam (unsolicited message) or ham (legitimate message). It processes textual content using NLP techniques to clean and extract meaningful features, then applies machine learning algorithms to classify the message.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/DevWaqarAhmad/Spam-SMS-Email-Classifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MAIF/melusine
📧 Melusine: Use python to automatize your email processing workflow
97k/spam-ham-web-app
A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend,...
hrwhisper/SpamMessage
ä¸æ–‡åžƒåœ¾çŸä¿¡è¯†åˆ«(手写分类器)
30lm32/ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and...
stdlib-js/datasets-spam-assassin
Spam Assassin public mail corpus.