Entity Extraction is a software that helps to deal with unstructured data. Metadata such as tags, keywords and taxonomy entries, or names of mentioned people, organizations and locations can be invaluable when refining search results, however it requires much effort when entering it by hand. Utilizing the Pingar toolset, metadata can be assigned automatically to documents consistently and reliably. Pingar’s algorithms originate from the latest machine-learning research.
- Transform text into structured data.
- Find and extract all entities in text.
- Recognize people's names in text.
- Identify addresses, phone numbers, dates and places in text.
- Find taxonomy entries in text.