CategorizedEntity Class
CategorizedEntity contains information about a particular entity found in text.
New in version v3.1: The offset and length properties.
- Inheritance
-
azure.ai.textanalytics._dict_mixin.DictMixinCategorizedEntity
Constructor
CategorizedEntity(**kwargs: Any)
Methods
get | |
has_key | |
items | |
keys | |
update | |
values |
get
get(key: str, default: Any | None = None) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
Default value: None
|
has_key
has_key(k: str) -> bool
Parameters
Name | Description |
---|---|
k
Required
|
|
items
items() -> Iterable[Tuple[str, Any]]
keys
keys() -> Iterable[str]
update
update(*args: Any, **kwargs: Any) -> None
values
values() -> Iterable[Any]
Attributes
category
Entity category, such as Person/Location/Org/SSN etc
category: str
confidence_score
Confidence score between 0 and 1 of the extracted entity.
confidence_score: float
length
The entity text length. This value depends on the value of the string_index_type parameter set in the original request, which is UnicodeCodePoints by default.
length: int
offset
The entity text offset from the start of the document. The value depends on the value of the string_index_type parameter set in the original request, which is UnicodeCodePoints by default.
offset: int
subcategory
Entity subcategory, such as Age/Year/TimeRange etc
subcategory: str | None = None
text
Entity text as appears in the request.
text: str
Azure SDK for Python