com.google.cloud.automl.v1

Interface TextSentimentAnnotationOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

TextSentimentAnnotation, TextSentimentAnnotation.Builder

public interface TextSentimentAnnotationOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
int	getSentiment() Output only.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getSentiment

int getSentiment()

 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.
 

int32 sentiment = 1;

Returns:

The sentiment.