public static final class TextSentimentAnnotation.Builder extends GeneratedMessageV3.Builder<TextSentimentAnnotation.Builder> implements TextSentimentAnnotationOrBuilder
Contains annotation details specific to text sentiment.
Protobuf type google.cloud.automl.v1.TextSentimentAnnotation
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public TextSentimentAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Overrides
build()
public TextSentimentAnnotation build()
buildPartial()
public TextSentimentAnnotation buildPartial()
clear()
public TextSentimentAnnotation.Builder clear()
Overrides
clearField(Descriptors.FieldDescriptor field)
public TextSentimentAnnotation.Builder clearField(Descriptors.FieldDescriptor field)
Overrides
clearOneof(Descriptors.OneofDescriptor oneof)
public TextSentimentAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
clearSentiment()
public TextSentimentAnnotation.Builder clearSentiment()
Output only. The sentiment with the semantic, as given to the
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;
clone()
public TextSentimentAnnotation.Builder clone()
Overrides
getDefaultInstanceForType()
public TextSentimentAnnotation getDefaultInstanceForType()
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Overrides
getSentiment()
public int getSentiment()
Output only. The sentiment with the semantic, as given to the
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 |
| Type |
Description |
int |
The sentiment.
|
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
mergeFrom(TextSentimentAnnotation other)
public TextSentimentAnnotation.Builder mergeFrom(TextSentimentAnnotation other)
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public TextSentimentAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Overrides
mergeFrom(Message other)
public TextSentimentAnnotation.Builder mergeFrom(Message other)
| Parameter |
| Name |
Description |
other |
Message
|
Overrides
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
setField(Descriptors.FieldDescriptor field, Object value)
public TextSentimentAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Overrides
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public TextSentimentAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
setSentiment(int value)
public TextSentimentAnnotation.Builder setSentiment(int value)
Output only. The sentiment with the semantic, as given to the
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;
| Parameter |
| Name |
Description |
value |
int
The sentiment to set.
|
setUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides
