Entities allow you to enrich and qualify your intents. They complete and nuance the intentions, because they correspond to more precise terms - get started now!

1. The core features

1. 1 Entities Manager

Use entities in multiple different languages
Explore Built-in Entities
- There are two types of entries to define your entity
  - entities based on Value-list type
  - entities based on Regular Expression type
Import entity values CSV file

1.2 Intents Manager

Flag entities in training expressions
Auto-suggest entities in training expressions

2. Manage and create your AI Entities

2.1 Entities Manager

Select the domain where to create your entities

Create an entity based on a value list: list several reference values to define entries. Then, add synonyms for your reference values below
Click on the "Create entity" button

Add a name to your entity
Select Value-list type
- Two possibilities to add values and synonyms:
  - Add one by one values ↔ synonyms
  - Import a CSV containing a list of values ↔ synonyms

To do this, go to your spreadsheet (Google Sheet, Numbers, Microsoft Excel...) and open your file.

The first column (in red) is the reference values, the rows (in blue) are your synonyms.

Then export (with Numbers), download (with Google Sheet) or save your data (with Microsoft Excel) in CSV format.

NB. If you open your CSV file in a note-taking program, your data must be separated by commas.

Go back to the iAdvize administration area.

Click on "Import CSV", then "Browse" to import your file.

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Your data will be displayed in "List of values". They add to the existing list.

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Click on the "Save" button

Please note the following prerequisites for the entities before importing:

- 250 different types of entities maximum
- 30,000 different values of entities maximum
- 200 synonyms per entity value maximum

You can also create an entity based on Regular Expressions :

Click on the "Create entity" button
Add a name to your entity
Select Regular Expression type
Insert the regular expression that will match an expression pattern

Save your entity

2.2 Intents Manager

Flag entities in training expressions

Select the domain where to use entities in training expressions
Create a new intent and add training expressions or just edit an existing intent

Select words in training expression and click on the overlay button "Add"
Select the right entities that match the most select words

Save your entity

Auto-suggest entities in training expressions

Add a new training expression
- If some words are matching an entity, our AI engine will suggest your “potential entity to validate” by a light colour background in training expression
- You can discard (with the trash icon) or validate (with button Activate entity) suggested entities

Save your entity

3. A few notions

Built-in Entities: these are entities who are matching generic patterns like email, numbers, time, dates…
Value-list entities: list of values ↔ synonyms.

Example: detect gaming consols

- Value: Xbox / Synonyms: xbox 360, xbox one, xbox series
- Value: Playstation / Synonyms: PS1, PS2, PS3, PS4, PS5

Regular Expression entities: use a regular expression to match a pattern

Example: detect: United States zip code

- Regular Expression: \d{5}(-\d{4})?

Entity Manager