rgdavies92/tensorflow-spam
✉️ 🐖 Spam email identification using NLP and a RNN with TensorFlow
This project helps individuals or businesses filter out unwanted messages by classifying incoming text as either legitimate ('ham') or spam. You input a collection of text messages, and it identifies which ones are spam using natural language processing. This is useful for anyone managing a large volume of digital communication, like customer support teams or personal users.
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Use this if you need an automated way to identify and separate spam from important messages based on their content.
Not ideal if you need to classify non-textual spam (e.g., image-based spam) or require a solution with extensive customization for highly specific spam types beyond general text.
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Last pushed
Mar 29, 2022
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