aniass/Spam-detection
Spam detection in SMS messages with BERT model and Machine Learning algorithms
This project helps telecommunications companies or messaging service providers automatically identify and filter out unwanted or fraudulent SMS messages. It takes raw SMS text messages as input and classifies them as either 'ham' (legitimate) or 'spam' (unwanted), providing a crucial layer of defense against scams. The primary users would be operations engineers or security specialists managing messaging platforms.
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Use this if you need to automatically detect and filter spam from a high volume of incoming SMS messages with high accuracy.
Not ideal if you are looking to detect spam in other communication channels like email, social media, or voice calls.
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Last pushed
Jul 06, 2025
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