danieldanuega/spacyndo

Dependency Parser and NER model for Bahasa Indonesia Spacy 2.1

27
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Experimental

This project helps developers working with Indonesian text process and understand its structure and key entities. It takes raw Indonesian text as input and identifies grammatical relationships between words (dependency parsing) and extracts named entities like locations, organizations, and dates (NER). Developers building applications that analyze or categorize Indonesian language content would use this model.

No commits in the last 6 months.

Use this if you are a developer building a software application that needs to automatically understand the grammatical structure or extract specific entities from Indonesian text.

Not ideal if you need a pre-built application or a simple user interface for Indonesian text analysis, as this project provides the underlying model for developers.

Indonesian-NLP text-analysis named-entity-recognition dependency-parsing language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Jul 17, 2020

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