public static final class TextSentimentProto.TextSentimentAnnotation.Builder extends GeneratedMessageV3.Builder<TextSentimentProto.TextSentimentAnnotation.Builder> implements TextSentimentProto.TextSentimentAnnotationOrBuilder
Contains annotation details specific to text sentiment.
Protobuf type google.cloud.automl.v1beta1.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 TextSentimentProto.TextSentimentAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Overrides
build()
public TextSentimentProto.TextSentimentAnnotation build()
buildPartial()
public TextSentimentProto.TextSentimentAnnotation buildPartial()
clear()
public TextSentimentProto.TextSentimentAnnotation.Builder clear()
Overrides
clearField(Descriptors.FieldDescriptor field)
public TextSentimentProto.TextSentimentAnnotation.Builder clearField(Descriptors.FieldDescriptor field)
Overrides
clearOneof(Descriptors.OneofDescriptor oneof)
public TextSentimentProto.TextSentimentAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
clearSentiment()
public TextSentimentProto.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 TextSentimentProto.TextSentimentAnnotation.Builder clone()
Overrides
getDefaultInstanceForType()
public TextSentimentProto.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(TextSentimentProto.TextSentimentAnnotation other)
public TextSentimentProto.TextSentimentAnnotation.Builder mergeFrom(TextSentimentProto.TextSentimentAnnotation other)
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public TextSentimentProto.TextSentimentAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Overrides
mergeFrom(Message other)
public TextSentimentProto.TextSentimentAnnotation.Builder mergeFrom(Message other)
| Parameter |
| Name |
Description |
other |
Message
|
Overrides
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentProto.TextSentimentAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
setField(Descriptors.FieldDescriptor field, Object value)
public TextSentimentProto.TextSentimentAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Overrides
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public TextSentimentProto.TextSentimentAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
setSentiment(int value)
public TextSentimentProto.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 TextSentimentProto.TextSentimentAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides
