Recognizing Entities using Pretrained Model
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Recognizing Entities using Pretrained Models

The defined Models can be further used to predict a set of content.

  1. Navigate to Smart Bot > Entity Recognition.

The Entity Recognition page is displayed with two tabs - namely Dataset and Model.

  1. Open the Model page.
  2. From the Action column, click for classifying the text from the trained model. A new window is  displayed with the selected Entity Recognizer name. 

  1. You can enter the text in the input box or upload a file containing text. The supported file types are .txt, .doc, .docx and .pdf.
  2. Select the Entities. Based on the model, the entities defined in the dataset for training the model will be displayed. By default, all the entities will be selected.
  3. Click Recognize.

  4. The Smart Bot will recognize the entities from the text along with the start and end offset (index) for each entity.