cahya-wirawan/opentc

OpenTC is a text classification engine using several algorithms in machine learning

48
/ 100
Emerging

This tool helps you automatically sort and categorize large volumes of text. You provide examples of text with their correct categories (your 'training data'), and it learns to classify new, unseen text or files, outputting the most likely category for each. It's designed for anyone needing to efficiently organize or detect patterns in text, such as for content moderation, compliance, or information routing.

No commits in the last 6 months. Available on PyPI.

Use this if you need to automatically assign categories to incoming text data, like emails, support tickets, documents, or social media posts, based on examples you've already categorized.

Not ideal if you need to analyze complex relationships between texts, extract specific entities, or if your text classification needs change frequently.

content-moderation document-management compliance information-security data-leak-prevention
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 16 / 25

How are scores calculated?

Stars

27

Forks

6

Language

Python

License

MIT

Last pushed

May 04, 2020

Commits (30d)

0

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