AssessmentSentiment Class
AssessmentSentiment contains the predicted sentiment, confidence scores and other information about an assessment given about a particular target. For example, in the sentence "The food is good", the assessment of the target 'food' is 'good'.
- Inheritance
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azure.ai.textanalytics._dict_mixin.DictMixinAssessmentSentiment
Constructor
AssessmentSentiment(**kwargs: Any)
Methods
get | |
has_key | |
items | |
keys | |
update | |
values |
get
get(key: str, default: Any | None = None) -> Any
Parameters
Name | Description |
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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
confidence_scores
The sentiment confidence score between 0 and 1 for the assessment for 'positive' and 'negative' labels. It's score for 'neutral' will always be 0
confidence_scores: SentimentConfidenceScores
is_negated
Whether the value of the assessment is negated. For example, in "The food is not good", the assessment "good" is negated.
is_negated: bool
length
The assessment 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 assessment 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
sentiment
The predicted Sentiment for the assessment. Possible values include 'positive', 'mixed', and 'negative'.
sentiment: str
text
The assessment text.
text: str
Azure SDK for Python