derhuerst/nbayes
A Naive Bayes classifier written in JavaScript.
This tool helps you automatically sort short pieces of text into categories you define, such as "spam" or "not spam," or "positive" or "negative" sentiment. You provide example texts for each category, and it learns to classify new, unseen texts. Anyone who needs to quickly sort or tag text-based content without manual review would find this useful.
No commits in the last 6 months. Available on npm.
Use this if you need to categorize documents, emails, social media posts, or customer feedback based on their text content into predefined groups.
Not ideal if your categorization needs involve complex linguistic analysis, require understanding context beyond individual words, or if your text is in languages not easily tokenized or stemmed.
Stars
16
Forks
3
Language
JavaScript
License
ISC
Category
Last pushed
Aug 26, 2022
Commits (30d)
0
Dependencies
1
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/derhuerst/nbayes"
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