arop/ner-re-pt
Named entity extraction from Portuguese web text
This project helps you automatically identify and extract specific entities like names of people, organizations, or locations from Portuguese web text, especially news articles. You input raw Portuguese text, and it outputs the text with recognized entities highlighted or categorized. This tool is useful for researchers, analysts, or anyone working with large volumes of Portuguese textual information who needs to quickly find key data points.
No commits in the last 6 months.
Use this if you need to rapidly process and extract structured information from unstructured Portuguese web content, particularly news text.
Not ideal if your primary text source is not Portuguese web content, or if you require fine-grained sentiment analysis or deep linguistic parsing beyond entity recognition.
Stars
71
Forks
18
Language
Python
License
—
Category
Last pushed
Aug 16, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/arop/ner-re-pt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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