Google AutoML v1 API - Class TextSentimentAnnotation (3.1.0)

public sealed class TextSentimentAnnotation : IMessage<TextSentimentAnnotation>, IEquatable<TextSentimentAnnotation>, IDeepCloneable<TextSentimentAnnotation>, IBufferMessage, IMessage

Reference documentation and code samples for the Google AutoML v1 API class TextSentimentAnnotation.

Contains annotation details specific to text sentiment.

Inheritance

Object > TextSentimentAnnotation

Implements

IMessage<TextSentimentAnnotation>, IEquatable<TextSentimentAnnotation>, IDeepCloneable<TextSentimentAnnotation>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

TextSentimentAnnotation()

public TextSentimentAnnotation()

TextSentimentAnnotation(TextSentimentAnnotation)

public TextSentimentAnnotation(TextSentimentAnnotation other)

Parameter
Name	Description
`other`	`TextSentimentAnnotation`

Properties

Sentiment

public int Sentiment { get; set; }

Output only. The sentiment with the semantic, as given to the [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] when populating the dataset from which the model used for the prediction had been trained. The sentiment values are between 0 and Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive), with higher value meaning more positive sentiment. They are completely relative, i.e. 0 means least positive sentiment and sentiment_max means the most positive from the sentiments present in the train data. Therefore e.g. if train data had only negative sentiment, then sentiment_max, would be still negative (although least negative). The sentiment shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

Property Value
Type	Description
`Int32`