Natural Language processing for effective understanding of Human-Generated text is immensely helpful and widely used. This package enables you to extract meaning and insight from textual content in a seamless manner.
EntityExtraction
When to use the EntityExtraction activity
This activity helps you classify pre-defined named entities from a document.
The Aylien entity extraction technique helps the user to extract the entities that are present in a text. The text documents that contain data needs to be classified with different entities such as location, products, organization, etc. These named entities can be classified using the feature.
Figure 1
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Activity Name |
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AylienEntityExtraction |
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Technical Reference
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Figure 1.1
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S.no |
Description |
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1 |
Specify the Aylien APP ID |
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2 |
Specify the Aylien APP key |
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3 |
Specify the input text or URL |
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4 |
Displays the action that the activity performs in the workflow |
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5 |
Specify whether to continue executing the workflow even if the activity fails |
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6 |
Specify the variable to which the output needs to be stored. |
InputText can also be a variable of datatype string that holds the input text.
The APP ID and APP Key can be generated in the Aylien website (https://aylien.com/text-api/entity-extraction/)
Illustration
Activity: The AylienEntityExtraction is a cognitive feature which helps the user to extract the named entities from a piece of text or text document.
- Drag an AylienEntityExtraction activity and drop it to the flowchart
- Enter the APP ID and APP key
- Enter the input text (can also be a varchar) in the InputText field
- Enter the variable that needs to hold the output with the entity classification.
Figure 1.2
Figure 1.3
