What is entity extraction used for?#
This technology automates the process of finding and categorising important data points locked within text. This allows businesses to quickly transform unstructured documents into organized, structured data that can be analysed to reveal trends, improve compliance, or speed up workflows.
How does entity extraction work?#
The AI system is first trained on large volumes of text where important pieces of information (the "entities") have been labelled. For example, it learns the patterns and context that distinguish a person's name from a company's name, or a date from a product ID. It learns to recognise what a "Location" or "Monetary Value" looks like based on thousands of examples.
Once trained, the system can process new, unseen text. It intelligently scans the document, identifies words or phrases that match the patterns it has learned, and then tags them with the appropriate category (e.g., classifying "Acme Corp." as an "Organization" and "March 15, 2024" as a "Date"). This creates structured, usable data from the raw text.
How is entity extraction different from keyword search?#
Entity extraction is about understanding the meaning and context of a piece of information. This is different from a simple keyword search, which just finds all mentions of a specific word or phrase. For example, a keyword search for "Washington" would find the name of the person, the state, and the city. Entity extraction can distinguish between them, correctly classifying "George Washington" as a person and "Washington, D.C." as a location.