Organization & Company Extraction
Automatically identify organizations, companies, institutions, and other named groups mentioned in text. Essential for business intelligence, news monitoring, and document analysis.
Key Points
- Extract company names, brands, and business entities
- Identify government agencies, NGOs, and institutions
- Handle abbreviations and common variants (IBM, Google, etc.)
- Useful for competitive analysis and news monitoring
- Recognize both formal and informal organization references
Example
python
import requests
text = """
Microsoft announced a partnership with OpenAI to integrate
ChatGPT into Bing search. The EU Commission is reviewing
the deal for antitrust concerns.
"""
response = requests.post(
"https://api.entity-detector.com/v1/analyze",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"text": text}
)
orgs = response.json()["entities"]["organizations"]
# ["Microsoft", "OpenAI", "Bing", "EU Commission"]Frequently Asked Questions
Can it identify subsidiary relationships?
The API extracts organization mentions but does not automatically identify parent-subsidiary relationships. You would need additional data sources for corporate hierarchy information.
How does it handle brand vs company names?
Both brand names and company names are typically extracted as organizations. For example, "iPhone" might be extracted while "Apple" is also extracted separately.
Try Entity Extraction Now
See entity extraction in action with our interactive demo or start building with the API.