Using word vectors to classify spam messages

In plain words

This is a machine learning project that uses word vectors to identify and classify spam messages. Released in 2017, it provides a technical approach to spam detection by analyzing word patterns and their relationships. The project is available on GitHub for developers interested in implementing or studying vector-based spam filtering techniques.

written from the facts on this page · September 2026

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  Here's a small demonstration of the fundamental aspects of the word-to-vec algorithm. It's implemented in a single python script and depends only on a single text file for training. It's not meant to be blazingly fast or anything, just a toy example to aid my understanding of how word vectors might be learnt from a corpus.

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  Spam detection in the physical world

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