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SentimentSkillV3 Class

Using the Text Analytics API, evaluates unstructured text and for each record, provides sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score found by the service at a sentence and document-level.

Constructor

SentimentSkillV3(*args: Any, **kwargs: Any)

Variables

Name	Description
name	str The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'.
description	str The description of the skill which describes the inputs, outputs, and usage of the skill.
context	str Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document.
inputs	list[InputFieldMappingEntry] Inputs of the skills could be a column in the source data set, or the output of an upstream skill. Required.
outputs	list[OutputFieldMappingEntry] The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. Required.
default_language_code	str or SentimentSkillLanguage A value indicating which language code to use. Default is `en`. Known values are: "da", "nl", "en", "fi", "fr", "de", "el", "it", "no", "pl", "pt-PT", "ru", "es", "sv", and "tr".
include_opinion_mining	bool If set to true, the skill output will include information from Text Analytics for opinion mining, namely targets (nouns or verbs) and their associated assessment (adjective) in the text. Default is false.
model_version	str The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary.
odata_type	str A URI fragment specifying the type of skill. Required. Default value is "#Microsoft.Skills.Text.V3.SentimentSkill".

Methods

as_dict	Return a dict that can be turned into json using json.dump.
clear	Remove all items from D.
copy
get	Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any
items
keys
pop	Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.
popitem	Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.
setdefault	Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any
update	Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.
values

as_dict

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Name	Description
exclude_readonly	bool Whether to remove the readonly properties. Default value: False

Returns

Type	Description
dict	A dict JSON compatible object

clear

Remove all items from D.

clear() -> None

copy

copy() -> Model

get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

Name	Description
key Required
default	Default value: None

items

items() -> ItemsView[str, Any]

Returns

Type	Description
ItemsView	set-like object providing a view on D's items

keys

keys() -> KeysView[str]

Returns

Type	Description
KeysView	a set-like object providing a view on D's keys

pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name	Description
key Required
default

popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

popitem() -> tuple[str, Any]

setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name	Description
key Required
default

update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values

values() -> ValuesView[Any]

Returns

Type	Description
ValuesView	an object providing a view on D's values

Attributes

context

Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document.

context: str | None

default_language_code

"da", "nl", "en", "fi", "fr", "de", "el", "it", "no", "pl", "pt-PT", "ru", "es", "sv", and "tr".

default_language_code: str | _models.SentimentSkillLanguage | None

description

The description of the skill which describes the inputs, outputs, and usage of the skill.

description: str | None

include_opinion_mining

If set to true, the skill output will include information from Text Analytics for opinion mining, namely targets (nouns or verbs) and their associated assessment (adjective) in the text. Default is false.

include_opinion_mining: bool | None

inputs

Inputs of the skills could be a column in the source data set, or the output of an upstream skill. Required.

inputs: list['_models.InputFieldMappingEntry']

model_version

The version of the model to use when calling the Text Analytics service. It will default to the latest available when not specified. We recommend you do not specify this value unless absolutely necessary.

model_version: str | None

name

The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'.

name: str | None

odata_type

A URI fragment specifying the type of skill. Required. Default value is "#Microsoft.Skills.Text.V3.SentimentSkill".

odata_type: Literal['#Microsoft.Skills.Text.V3.SentimentSkill']

outputs

The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. Required.

outputs: list['_models.OutputFieldMappingEntry']

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