# Functions
NewNaturalLanguageUnderstandingV1 : Instantiate NaturalLanguageUnderstandingV1.
# Constants
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
Constants associated with the TokenResult.PartOfSpeech property.
# Structs
AnalysisResults : Results of the analysis, organized by feature.
AnalysisResultsMetadata : Webpage metadata, such as the author and the title of the page.
AnalysisResultsUsage : API usage information for the request.
AnalyzeOptions : The Analyze options.
Author : The author of the analyzed content.
CategoriesOptions : Returns a five-level taxonomy of the content.
CategoriesRelevantText : Relevant text that contributed to the categorization.
CategoriesResult : A categorization of the analyzed text.
CategoriesResultExplanation : Information that helps to explain what contributed to the categories result.
ConceptsOptions : Returns high-level concepts in the content.
ConceptsResult : The general concepts referenced or alluded to in the analyzed text.
DeleteModelOptions : The DeleteModel options.
DeleteModelResults : Delete model results.
DisambiguationResult : Disambiguation information for the entity.
DocumentEmotionResults : Emotion results for the document as a whole.
DocumentSentimentResults : DocumentSentimentResults struct.
EmotionOptions : Detects anger, disgust, fear, joy, or sadness that is conveyed in the content or by the context around target phrases specified in the targets parameter.
EmotionResult : The detected anger, disgust, fear, joy, or sadness that is conveyed by the content.
EmotionScores : EmotionScores struct.
EntitiesOptions : Identifies people, cities, organizations, and other entities in the content.
EntitiesResult : The important people, places, geopolitical entities and other types of entities in your content.
EntityMention : EntityMention struct.
Features : Analysis features and options.
FeatureSentimentResults : FeatureSentimentResults struct.
Feed : RSS or ATOM feed found on the webpage.
KeywordsOptions : Returns important keywords in the content.
KeywordsResult : The important keywords in the content, organized by relevance.
ListModelsOptions : The ListModels options.
ListModelsResults : Custom models that are available for entities and relations.
MetadataOptions : Returns information from the document, including author name, title, RSS/ATOM feeds, prominent page image, and publication date.
Model : Model struct.
NaturalLanguageUnderstandingV1 : Analyze various features of text content at scale.
NaturalLanguageUnderstandingV1Options : Service options.
RelationArgument : RelationArgument struct.
RelationEntity : An entity that corresponds with an argument in a relation.
RelationsOptions : Recognizes when two entities are related and identifies the type of relation.
RelationsResult : The relations between entities found in the content.
SemanticRolesEntity : SemanticRolesEntity struct.
SemanticRolesKeyword : SemanticRolesKeyword struct.
SemanticRolesOptions : Parses sentences into subject, action, and object form.
SemanticRolesResult : The object containing the actions and the objects the actions act upon.
SemanticRolesResultAction : The extracted action from the sentence.
SemanticRolesResultObject : The extracted object from the sentence.
SemanticRolesResultSubject : The extracted subject from the sentence.
SemanticRolesVerb : SemanticRolesVerb struct.
SentenceResult : SentenceResult struct.
SentimentOptions : Analyzes the general sentiment of your content or the sentiment toward specific target phrases.
SentimentResult : The sentiment of the content.
SyntaxOptions : Returns tokens and sentences from the input text.
SyntaxOptionsTokens : Tokenization options.
SyntaxResult : Tokens and sentences returned from syntax analysis.
TargetedEmotionResults : Emotion results for a specified target.
TargetedSentimentResults : TargetedSentimentResults struct.
TokenResult : TokenResult struct.