mshenoda/roberta-spam
RoBERTa based Spam Message Detection
This system helps organizations automatically identify and filter out unwanted or harmful messages. It takes incoming text messages or emails and classifies them as either legitimate ('ham') or spam, providing an extra layer of defense. This is ideal for IT security managers, operations teams, or anyone responsible for protecting an organization's digital communication channels.
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Use this if you need to automatically detect and filter spam messages to enhance your organization's security and protect users from phishing or malicious links.
Not ideal if you need to analyze image-based spam, or if your primary concern is filtering spam in languages other than English.
Stars
18
Forks
4
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 24, 2025
Commits (30d)
0
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