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Extract data

Extract

Extract entities from text. Configure entities in the Extract Tab. 

{{ extract }}

Returns

  • JSON representation of the extracted entities.
Example Usage

Input: 

My phone number is 555-555-5555=>{{ extract }}

Output: (You may see more entities than shown below - this is only an example)

{
  "phone-number": [
    "555-555-5555"
  ]
}

Extract Keywords

Extracts keywords from input text.

{{ keywords | nouns: true }}

Parameters

  • Nouns: If true, return all nouns. If false, only return proper nouns.

Returns

The resulting keywords.

Example Usage 1 
I have 20 cats and 40 dogs
{{ keywords|nouns:true }}

Will yield: 

20 cats, 40 dogs

Example Usage 2 
Howard has 20 cats and 40 dogs
{{ keywords|nouns:false }}

Will yield:

Howard

If the nouns: true is used, the following below is returned:

Howard, 20 cats, 40 dogs

Extract Grammar

Extracts grammar from input text, grouping by type of word.

{{ grammar }}

Returns

  • This sets environment variables from the text given, classifying words into buckets like dates, nouns, determiners, etc
Example Usage 
Howard has 20 cats and 40 dogs. 
He took them to the vet last week.
{{ grammar  }}

Will yield in the environment (see the Inspector):

grammar.year: [2024]
grammar.context:
grammar.dates: ["last","week"]
grammar.propernouns: ["Howard"]
grammar.nouns: ["20 cats","40 dogs","vet","week"]
grammar.preps: ["He","them"]
grammar.determiners: []