Class: Google::Apis::LanguageV2::CloudNaturalLanguageService
- Inherits:
-
Core::BaseService
- Object
- Core::BaseService
- Google::Apis::LanguageV2::CloudNaturalLanguageService
- Defined in:
- lib/google/apis/language_v2/service.rb
Overview
Cloud Natural Language API
Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations, to developers.
Instance Attribute Summary collapse
-
#key ⇒ String
API key.
-
#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Instance Method Summary collapse
-
#analyze_document_entities(analyze_entities_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::AnalyzeEntitiesResponse
Finds named entities (currently proper names and common nouns) in the text along with entity types, probability, mentions for each entity, and other properties.
-
#analyze_document_sentiment(analyze_sentiment_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::AnalyzeSentimentResponse
Analyzes the sentiment of the provided text.
-
#annotate_document_text(annotate_text_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::AnnotateTextResponse
A convenience method that provides all features in one call.
-
#classify_document_text(classify_text_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::ClassifyTextResponse
Classifies a document into categories.
-
#initialize ⇒ CloudNaturalLanguageService
constructor
A new instance of CloudNaturalLanguageService.
-
#moderate_document_text(moderate_text_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::ModerateTextResponse
Moderates a document for harmful and sensitive categories.
Constructor Details
#initialize ⇒ CloudNaturalLanguageService
Returns a new instance of CloudNaturalLanguageService.
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# File 'lib/google/apis/language_v2/service.rb', line 47 def initialize super('https://language.googleapis.com/', '', client_name: 'google-apis-language_v2', client_version: Google::Apis::LanguageV2::GEM_VERSION) @batch_path = 'batch' end |
Instance Attribute Details
#key ⇒ String
Returns API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
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# File 'lib/google/apis/language_v2/service.rb', line 40 def key @key end |
#quota_user ⇒ String
Returns Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
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# File 'lib/google/apis/language_v2/service.rb', line 45 def quota_user @quota_user end |
Instance Method Details
#analyze_document_entities(analyze_entities_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::AnalyzeEntitiesResponse
Finds named entities (currently proper names and common nouns) in the text along with entity types, probability, mentions for each entity, and other properties.
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# File 'lib/google/apis/language_v2/service.rb', line 75 def analyze_document_entities(analyze_entities_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v2/documents:analyzeEntities', ) command.request_representation = Google::Apis::LanguageV2::AnalyzeEntitiesRequest::Representation command.request_object = analyze_entities_request_object command.response_representation = Google::Apis::LanguageV2::AnalyzeEntitiesResponse::Representation command.response_class = Google::Apis::LanguageV2::AnalyzeEntitiesResponse command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#analyze_document_sentiment(analyze_sentiment_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::AnalyzeSentimentResponse
Analyzes the sentiment of the provided text.
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# File 'lib/google/apis/language_v2/service.rb', line 105 def analyze_document_sentiment(analyze_sentiment_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v2/documents:analyzeSentiment', ) command.request_representation = Google::Apis::LanguageV2::AnalyzeSentimentRequest::Representation command.request_object = analyze_sentiment_request_object command.response_representation = Google::Apis::LanguageV2::AnalyzeSentimentResponse::Representation command.response_class = Google::Apis::LanguageV2::AnalyzeSentimentResponse command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#annotate_document_text(annotate_text_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::AnnotateTextResponse
A convenience method that provides all features in one call.
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# File 'lib/google/apis/language_v2/service.rb', line 135 def annotate_document_text(annotate_text_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v2/documents:annotateText', ) command.request_representation = Google::Apis::LanguageV2::AnnotateTextRequest::Representation command.request_object = annotate_text_request_object command.response_representation = Google::Apis::LanguageV2::AnnotateTextResponse::Representation command.response_class = Google::Apis::LanguageV2::AnnotateTextResponse command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#classify_document_text(classify_text_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::ClassifyTextResponse
Classifies a document into categories.
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# File 'lib/google/apis/language_v2/service.rb', line 165 def classify_document_text(classify_text_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v2/documents:classifyText', ) command.request_representation = Google::Apis::LanguageV2::ClassifyTextRequest::Representation command.request_object = classify_text_request_object command.response_representation = Google::Apis::LanguageV2::ClassifyTextResponse::Representation command.response_class = Google::Apis::LanguageV2::ClassifyTextResponse command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#moderate_document_text(moderate_text_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::LanguageV2::ModerateTextResponse
Moderates a document for harmful and sensitive categories.
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# File 'lib/google/apis/language_v2/service.rb', line 195 def moderate_document_text(moderate_text_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v2/documents:moderateText', ) command.request_representation = Google::Apis::LanguageV2::ModerateTextRequest::Representation command.request_object = moderate_text_request_object command.response_representation = Google::Apis::LanguageV2::ModerateTextResponse::Representation command.response_class = Google::Apis::LanguageV2::ModerateTextResponse command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |