Sk70249/NLP-Spam-Ham-Classifier

A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)

34
/ 100
Emerging

This tool helps you automatically sort incoming text messages (SMS) into two categories: spam or legitimate ('ham'). You provide a list of text messages, and it processes them to tell you which ones are junk and which are important. This is ideal for anyone who needs to filter a high volume of SMS communications, such as customer service teams, marketers, or personal users overwhelmed by unwanted messages.

No commits in the last 6 months.

Use this if you need an automated way to identify and separate unwanted spam messages from genuine communications in a large dataset of SMS texts.

Not ideal if you need a solution for emails, social media content, or other text formats beyond simple SMS messages, or if you require real-time, high-volume spam filtering at an enterprise scale without any development work.

SMS filtering Spam detection Customer communication Content moderation Message classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

8

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Jul 24, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Sk70249/NLP-Spam-Ham-Classifier"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.