Davisy/SMS-Spam-Text-Classification
How to classifiy spam sms by using NLP
This tool helps you automatically sort incoming SMS messages, separating unwanted spam from legitimate texts. You feed it a collection of text messages, and it tells you which ones are spam and which are not. This is useful for anyone who receives a high volume of SMS messages and wants to filter out irrelevant or malicious content.
No commits in the last 6 months.
Use this if you need to efficiently identify and filter out spam messages from a large dataset of SMS communications.
Not ideal if you require highly nuanced categorization beyond simple spam/not-spam, or if you are working with non-textual message formats.
Stars
11
Forks
9
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Davisy/SMS-Spam-Text-Classification"
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,...
stdlib-js/datasets-spam-assassin
Spam Assassin public mail corpus.
hrwhisper/SpamMessage
䏿–‡åžƒåœ¾çŸä¿¡è¯†åˆ«(手写分类器)
Zimbra/zimbra-ml
Zimbra Machine Learning GraphQL Server