joshday/Spacy.jl

Get up and running with Python's spaCy inside Julia

21
/ 100
Experimental

This helps you extract key information like names, organizations, and dates from text documents directly within your Julia environment. You provide raw text and it returns identified entities with their categories, making it easier to analyze unstructured data. Anyone working with natural language processing in Julia, such as researchers, data scientists, or analysts, would find this useful.

No commits in the last 6 months.

Use this if you are a Julia user who needs to perform advanced natural language processing tasks like entity recognition on text data without switching to Python.

Not ideal if you primarily work in Python or need a built-in Julia-native NLP solution without any Python dependencies.

natural-language-processing text-analysis data-extraction information-retrieval julia-ecosystem
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Julia

License

MIT

Last pushed

May 19, 2023

Commits (30d)

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