hppRC/bert-classification-tutorial

【2023年版】BERTによるテキスト分類

40
/ 100
Emerging

This project offers a template for classifying Japanese news articles into categories using advanced AI. You input raw news article text, and it outputs a classification like 'sports' or 'movie news'. It's designed for natural language processing researchers or data scientists who need a robust, modern setup for text categorization tasks.

236 stars. No commits in the last 6 months.

Use this if you need a high-quality, up-to-date starting point for classifying Japanese text data, particularly news articles, with BERT.

Not ideal if you're looking for a simple, out-of-the-box text classification tool that doesn't require any programming or command-line interaction.

news-classification text-categorization japanese-nlp information-extraction document-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

236

Forks

22

Language

Python

License

MIT

Last pushed

May 28, 2024

Commits (30d)

0

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