Reference documentation and code samples for the Natural Language V1beta2 API class Google::Cloud::Language::V1beta2::AnnotateTextRequest::Features.
All available features for sentiment, syntax, and semantic analysis. Setting each one to true will enable that specific analysis for the input. Next ID: 11
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#classification_model_options
def classification_model_options() -> ::Google::Cloud::Language::V1beta2::ClassificationModelOptions
Returns
-
(::Google::Cloud::Language::V1beta2::ClassificationModelOptions) — The model options to use for classification. Defaults to v1 options
if not specified. Only used if
classify_text
is set to true.
#classification_model_options=
def classification_model_options=(value) -> ::Google::Cloud::Language::V1beta2::ClassificationModelOptions
Parameter
-
value (::Google::Cloud::Language::V1beta2::ClassificationModelOptions) — The model options to use for classification. Defaults to v1 options
if not specified. Only used if
classify_text
is set to true.
Returns
-
(::Google::Cloud::Language::V1beta2::ClassificationModelOptions) — The model options to use for classification. Defaults to v1 options
if not specified. Only used if
classify_text
is set to true.
#classify_text
def classify_text() -> ::Boolean
Returns
- (::Boolean) — Classify the full document into categories. If this is true, the API will use the default model which classifies into a predefined taxonomy.
#classify_text=
def classify_text=(value) -> ::Boolean
Parameter
- value (::Boolean) — Classify the full document into categories. If this is true, the API will use the default model which classifies into a predefined taxonomy.
Returns
- (::Boolean) — Classify the full document into categories. If this is true, the API will use the default model which classifies into a predefined taxonomy.
#extract_document_sentiment
def extract_document_sentiment() -> ::Boolean
Returns
- (::Boolean) — Extract document-level sentiment.
#extract_document_sentiment=
def extract_document_sentiment=(value) -> ::Boolean
Parameter
- value (::Boolean) — Extract document-level sentiment.
Returns
- (::Boolean) — Extract document-level sentiment.
#extract_entities
def extract_entities() -> ::Boolean
Returns
- (::Boolean) — Extract entities.
#extract_entities=
def extract_entities=(value) -> ::Boolean
Parameter
- value (::Boolean) — Extract entities.
Returns
- (::Boolean) — Extract entities.
#extract_entity_sentiment
def extract_entity_sentiment() -> ::Boolean
Returns
- (::Boolean) — Extract entities and their associated sentiment.
#extract_entity_sentiment=
def extract_entity_sentiment=(value) -> ::Boolean
Parameter
- value (::Boolean) — Extract entities and their associated sentiment.
Returns
- (::Boolean) — Extract entities and their associated sentiment.
#extract_syntax
def extract_syntax() -> ::Boolean
Returns
- (::Boolean) — Extract syntax information.
#extract_syntax=
def extract_syntax=(value) -> ::Boolean
Parameter
- value (::Boolean) — Extract syntax information.
Returns
- (::Boolean) — Extract syntax information.