RandolphVI/Hierarchical-Multi-Label-Text-Classification

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

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This helps classify documents into multiple categories that are organized in a hierarchy, like an organization chart or a nested folder structure. You provide text documents (e.g., patents, web pages, emails) and a predefined hierarchical list of categories. The tool then assigns the most relevant categories to each document, even across different levels of the hierarchy. It's ideal for information architects, content managers, or librarians who need to organize large collections of documents precisely.

331 stars. No commits in the last 6 months.

Use this if you need to automatically assign complex, nested classification labels to documents where categories have parent-child relationships.

Not ideal if your classification needs are simple, involving only a single label per document or non-hierarchical multiple labels.

document-classification information-organization content-tagging patent-analysis knowledge-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

331

Forks

71

Language

Python

License

Apache-2.0

Last pushed

May 27, 2024

Commits (30d)

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