PaluMacil/ham
A Naive Bayes SMS spam classifier written in Go.
This tool helps mobile carriers or SMS service providers automatically sort incoming text messages into legitimate ("ham") or unwanted promotional/malicious content ("spam"). You provide a collection of example SMS messages labeled as either spam or ham, and it will analyze them to build a model. The output is a categorized list of new, unlabeled messages, indicating which are spam and which are not.
No commits in the last 6 months.
Use this if you need to quickly classify a large volume of SMS messages into spam or legitimate categories based on their content.
Not ideal if you require real-time, high-throughput classification of messages or if your messages contain highly specialized domain-specific language that might confuse a general-purpose text classifier.
Stars
14
Forks
—
Language
Go
License
MIT
Category
Last pushed
May 13, 2020
Commits (30d)
0
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