jenojp/extractacy
Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)
When you have unstructured text documents, this tool helps you automatically find specific facts related to key terms. For example, you can identify discharge dates next to the phrase 'discharge date' or temperature readings near 'temp reading'. It takes your text and a set of rules you define, then outputs the specific fact (like '11/15/2008' or '102.6 degrees') linked to the relevant term. This is for data analysts or researchers who need to extract structured information from large volumes of text.
No commits in the last 6 months. Available on PyPI.
Use this if you need to precisely pull out specific values like dates, numbers, or codes that are associated with particular phrases or entities within your text documents.
Not ideal if you need to understand the general sentiment of a document or summarize broad themes, as it focuses on highly specific fact extraction.
Stars
54
Forks
9
Language
Python
License
MIT
Category
Last pushed
May 25, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/jenojp/extractacy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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