Extract Named Entities

Identify named entities in your data

Named Entity Recognition (NER) locates and classifies entities into pre-defined categories such as person names, organizations, locations, etc. For instance "Obama" and "New York" are named entities in the following sentence.

Obama was travelling in New York when he was asked this question.

NER helps identify the popular entities mentioned in a dataset which can lead to a better understanding of users and data.

Extract named entities

Once you have uploaded your data,

  1. Select your dataset and click on Extract Entities under workflows
Relevance AI - Access to Extract Workflow

Relevance AI - Access to Extract Workflow

  1. Follow the configuration wizard:
  • Select the field you want to analyse for named entities
  • Type in a name for the new field that is automatically added to your dataset to save the extracted named entities
  • Execute the workflow
Relevance AI - Extract Entities workflow setup

Relevance AI - Extract Entities workflow setup

After the workflow is finalized, you can see the new field is added to your original dataset showing the extracted named entities for each document.