surmon-china/naivebayes

NaiveBayes classifier for JavaScript

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Emerging

This tool helps you automatically sort text content into predefined categories. You provide examples of text alongside their correct categories, and it learns to classify new, unseen text. For example, you can feed it emails and label them as 'spam' or 'not spam', and it will predict the category for future incoming emails. This is ideal for anyone needing to organize or filter large volumes of text, such as content moderators, customer support teams, or marketing analysts.

143 stars. No commits in the last 6 months.

Use this if you need to automatically categorize text, like emails, news articles, or customer feedback, into specific groups based on learned patterns.

Not ideal if your text classification needs require understanding complex nuances, context, or relationships beyond simple word frequency, or if you need to classify non-text data.

content-categorization spam-detection sentiment-analysis text-classification data-organization

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 10 / 25

How are scores calculated?

Stars

143

Forks

Language

JavaScript

License

MIT

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naivebayes and bayes naivebayes and node-naive-bayes

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