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
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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
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Auto-suggest entities in training expressions
2. Manage and create your AI Entities
2.1 Entities Manager
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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
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Click on the "Create entity" button
- Add a name to your entity
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Select Value-list type
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Two possibilities to add values and synonyms:
- Add one by one values ↔ synonyms
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Import a CSV containing a list of values ↔ synonyms
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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.
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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.
Your data will be displayed in "List of values". They add to the existing list.
- 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
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
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Select words in training expression and click on the overlay button "Add"
- Select the right entities that match the most select words
Auto-suggest entities in training expressions
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Add a new training expression
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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
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You can discard (with the trash icon) or validate (with button Activate entity) suggested entities
3. A few notions
- Built-in Entities: these are entities who are matching generic patterns like email, numbers, time, dates…
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Value-list entities: list of values ↔ synonyms.
Example: detect gaming consols
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- Value: Xbox / Synonyms: xbox 360, xbox one, xbox series
- Value: Playstation / Synonyms: PS1, PS2, PS3, PS4, PS5
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Regular Expression entities: use a regular expression to match a pattern
Example: detect: United States zip code
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- Regular Expression: \d{5}(-\d{4})?
