PB2204/SPAM-Detection-Model

SPAM-Detection-Model Is A NLP Model To Detect SPAM Messages...

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Experimental

This tool helps you automatically identify unwanted or fraudulent text messages. You provide a collection of SMS messages, and it classifies each one as either 'spam' or 'legitimate' (ham). This is useful for anyone managing large volumes of text communications, such as customer service teams or platform administrators, who need to filter out irrelevant or malicious content.

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Use this if you need an automated way to sort through a large number of incoming SMS messages and flag those that are likely spam.

Not ideal if you need to detect spam in other forms of communication like email or social media posts, or if you require a system that learns from highly personalized or evolving spam tactics in real-time.

SMS filtering message moderation telecom operations customer communication fraud prevention
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Jun 02, 2023

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