Package com.google.cloud.automl.v1

Interface TextSentimentAnnotationOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
TextSentimentAnnotation, TextSentimentAnnotation.Builder
@Generated public interface TextSentimentAnnotationOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

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

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

  • Method Details

    • 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.