fredwu/simple_bayes

A Naive Bayes machine learning implementation in Elixir.

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Emerging

This project helps classify documents or pieces of text into predefined categories, like sorting emails into 'spam' or 'not spam', or tagging articles as 'sports' or 'politics'. You input text examples labeled with their correct categories, and it outputs a system that can then predict the category of new, unseen text. This is useful for anyone needing to automatically organize or filter large volumes of text, such as content managers, customer support teams, or researchers.

396 stars. No commits in the last 6 months.

Use this if you need to categorize short texts or documents efficiently and you have a good set of examples for each category.

Not ideal if your categorization problems require understanding complex relationships between words that go beyond simple frequency or co-occurrence, or if you need to classify images or other non-textual data.

text-categorization spam-detection document-classification content-moderation email-filtering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

396

Forks

24

Language

Elixir

License

Last pushed

Sep 25, 2017

Commits (30d)

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