# frozen_string_literal: true # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Auto-generated by gapic-generator-ruby. DO NOT EDIT! module Google module Cloud module Language module V1 # ################################################################ # # # Represents the input to API methods. # @!attribute [rw] type # @return [Google::Cloud::Language::V1::Document::Type] # Required. If the type is not set or is `TYPE_UNSPECIFIED`, # returns an `INVALID_ARGUMENT` error. # @!attribute [rw] content # @return [String] # The content of the input in string format. # Cloud audit logging exempt since it is based on user data. # @!attribute [rw] gcs_content_uri # @return [String] # The Google Cloud Storage URI where the file content is located. # This URI must be of the form: gs://bucket_name/object_name. For more # details, see https://cloud.google.com/storage/docs/reference-uris. # NOTE: Cloud Storage object versioning is not supported. # @!attribute [rw] language # @return [String] # The language of the document (if not specified, the language is # automatically detected). Both ISO and BCP-47 language codes are # accepted.
# [Language # Support](https://cloud.google.com/natural-language/docs/languages) lists # currently supported languages for each API method. If the language (either # specified by the caller or automatically detected) is not supported by the # called API method, an `INVALID_ARGUMENT` error is returned. class Document include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods # The document types enum. module Type # The content type is not specified. TYPE_UNSPECIFIED = 0 # Plain text PLAIN_TEXT = 1 # HTML HTML = 2 end end # Represents a sentence in the input document. # @!attribute [rw] text # @return [Google::Cloud::Language::V1::TextSpan] # The sentence text. # @!attribute [rw] sentiment # @return [Google::Cloud::Language::V1::Sentiment] # For calls to [AnalyzeSentiment][] or if # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_document_sentiment AnnotateTextRequest.Features.extract_document_sentiment} is set to # true, this field will contain the sentiment for the sentence. class Sentence include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # Represents a phrase in the text that is a known entity, such as # a person, an organization, or location. The API associates information, such # as salience and mentions, with entities. # @!attribute [rw] name # @return [String] # The representative name for the entity. # @!attribute [rw] type # @return [Google::Cloud::Language::V1::Entity::Type] # The entity type. # @!attribute [rw] metadata # @return [Google::Protobuf::Map{String => String}] # Metadata associated with the entity. # # For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) # and Knowledge Graph MID (`mid`), if they are available. For the metadata # associated with other entity types, see the Type table below. # @!attribute [rw] salience # @return [Float] # The salience score associated with the entity in the [0, 1.0] range. # # The salience score for an entity provides information about the # importance or centrality of that entity to the entire document text. # Scores closer to 0 are less salient, while scores closer to 1.0 are highly # salient. # @!attribute [rw] mentions # @return [Array] # The mentions of this entity in the input document. The API currently # supports proper noun mentions. # @!attribute [rw] sentiment # @return [Google::Cloud::Language::V1::Sentiment] # For calls to [AnalyzeEntitySentiment][] or if # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_entity_sentiment AnnotateTextRequest.Features.extract_entity_sentiment} is set to # true, this field will contain the aggregate sentiment expressed for this # entity in the provided document. class Entity include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [String] # @!attribute [rw] value # @return [String] class MetadataEntry include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The type of the entity. For most entity types, the associated metadata is a # Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`). The table # below lists the associated fields for entities that have different # metadata. module Type # Unknown UNKNOWN = 0 # Person PERSON = 1 # Location LOCATION = 2 # Organization ORGANIZATION = 3 # Event EVENT = 4 # Artwork WORK_OF_ART = 5 # Consumer product CONSUMER_GOOD = 6 # Other types of entities OTHER = 7 # Phone number

# The metadata lists the phone number, formatted according to local # convention, plus whichever additional elements appear in the text: PHONE_NUMBER = 9 # Address

# The metadata identifies the street number and locality plus whichever # additional elements appear in the text: ADDRESS = 10 # Date

# The metadata identifies the components of the date: DATE = 11 # Number

# The metadata is the number itself. NUMBER = 12 # Price

# The metadata identifies the value and currency. PRICE = 13 end end # Represents the smallest syntactic building block of the text. # @!attribute [rw] text # @return [Google::Cloud::Language::V1::TextSpan] # The token text. # @!attribute [rw] part_of_speech # @return [Google::Cloud::Language::V1::PartOfSpeech] # Parts of speech tag for this token. # @!attribute [rw] dependency_edge # @return [Google::Cloud::Language::V1::DependencyEdge] # Dependency tree parse for this token. # @!attribute [rw] lemma # @return [String] # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token. class Token include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # Represents the feeling associated with the entire text or entities in # the text. # @!attribute [rw] magnitude # @return [Float] # A non-negative number in the [0, +inf) range, which represents # the absolute magnitude of sentiment regardless of score (positive or # negative). # @!attribute [rw] score # @return [Float] # Sentiment score between -1.0 (negative sentiment) and 1.0 # (positive sentiment). class Sentiment include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # Represents part of speech information for a token. Parts of speech # are as defined in # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf # @!attribute [rw] tag # @return [Google::Cloud::Language::V1::PartOfSpeech::Tag] # The part of speech tag. # @!attribute [rw] aspect # @return [Google::Cloud::Language::V1::PartOfSpeech::Aspect] # The grammatical aspect. # @!attribute [rw] case # @return [Google::Cloud::Language::V1::PartOfSpeech::Case] # The grammatical case. # @!attribute [rw] form # @return [Google::Cloud::Language::V1::PartOfSpeech::Form] # The grammatical form. # @!attribute [rw] gender # @return [Google::Cloud::Language::V1::PartOfSpeech::Gender] # The grammatical gender. # @!attribute [rw] mood # @return [Google::Cloud::Language::V1::PartOfSpeech::Mood] # The grammatical mood. # @!attribute [rw] number # @return [Google::Cloud::Language::V1::PartOfSpeech::Number] # The grammatical number. # @!attribute [rw] person # @return [Google::Cloud::Language::V1::PartOfSpeech::Person] # The grammatical person. # @!attribute [rw] proper # @return [Google::Cloud::Language::V1::PartOfSpeech::Proper] # The grammatical properness. # @!attribute [rw] reciprocity # @return [Google::Cloud::Language::V1::PartOfSpeech::Reciprocity] # The grammatical reciprocity. # @!attribute [rw] tense # @return [Google::Cloud::Language::V1::PartOfSpeech::Tense] # The grammatical tense. # @!attribute [rw] voice # @return [Google::Cloud::Language::V1::PartOfSpeech::Voice] # The grammatical voice. class PartOfSpeech include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods # The part of speech tags enum. module Tag # Unknown UNKNOWN = 0 # Adjective ADJ = 1 # Adposition (preposition and postposition) ADP = 2 # Adverb ADV = 3 # Conjunction CONJ = 4 # Determiner DET = 5 # Noun (common and proper) NOUN = 6 # Cardinal number NUM = 7 # Pronoun PRON = 8 # Particle or other function word PRT = 9 # Punctuation PUNCT = 10 # Verb (all tenses and modes) VERB = 11 # Other: foreign words, typos, abbreviations X = 12 # Affix AFFIX = 13 end # The characteristic of a verb that expresses time flow during an event. module Aspect # Aspect is not applicable in the analyzed language or is not predicted. ASPECT_UNKNOWN = 0 # Perfective PERFECTIVE = 1 # Imperfective IMPERFECTIVE = 2 # Progressive PROGRESSIVE = 3 end # The grammatical function performed by a noun or pronoun in a phrase, # clause, or sentence. In some languages, other parts of speech, such as # adjective and determiner, take case inflection in agreement with the noun. module Case # Case is not applicable in the analyzed language or is not predicted. CASE_UNKNOWN = 0 # Accusative ACCUSATIVE = 1 # Adverbial ADVERBIAL = 2 # Complementive COMPLEMENTIVE = 3 # Dative DATIVE = 4 # Genitive GENITIVE = 5 # Instrumental INSTRUMENTAL = 6 # Locative LOCATIVE = 7 # Nominative NOMINATIVE = 8 # Oblique OBLIQUE = 9 # Partitive PARTITIVE = 10 # Prepositional PREPOSITIONAL = 11 # Reflexive REFLEXIVE_CASE = 12 # Relative RELATIVE_CASE = 13 # Vocative VOCATIVE = 14 end # Depending on the language, Form can be categorizing different forms of # verbs, adjectives, adverbs, etc. For example, categorizing inflected # endings of verbs and adjectives or distinguishing between short and long # forms of adjectives and participles module Form # Form is not applicable in the analyzed language or is not predicted. FORM_UNKNOWN = 0 # Adnomial ADNOMIAL = 1 # Auxiliary AUXILIARY = 2 # Complementizer COMPLEMENTIZER = 3 # Final ending FINAL_ENDING = 4 # Gerund GERUND = 5 # Realis REALIS = 6 # Irrealis IRREALIS = 7 # Short form SHORT = 8 # Long form LONG = 9 # Order form ORDER = 10 # Specific form SPECIFIC = 11 end # Gender classes of nouns reflected in the behaviour of associated words. module Gender # Gender is not applicable in the analyzed language or is not predicted. GENDER_UNKNOWN = 0 # Feminine FEMININE = 1 # Masculine MASCULINE = 2 # Neuter NEUTER = 3 end # The grammatical feature of verbs, used for showing modality and attitude. module Mood # Mood is not applicable in the analyzed language or is not predicted. MOOD_UNKNOWN = 0 # Conditional CONDITIONAL_MOOD = 1 # Imperative IMPERATIVE = 2 # Indicative INDICATIVE = 3 # Interrogative INTERROGATIVE = 4 # Jussive JUSSIVE = 5 # Subjunctive SUBJUNCTIVE = 6 end # Count distinctions. module Number # Number is not applicable in the analyzed language or is not predicted. NUMBER_UNKNOWN = 0 # Singular SINGULAR = 1 # Plural PLURAL = 2 # Dual DUAL = 3 end # The distinction between the speaker, second person, third person, etc. module Person # Person is not applicable in the analyzed language or is not predicted. PERSON_UNKNOWN = 0 # First FIRST = 1 # Second SECOND = 2 # Third THIRD = 3 # Reflexive REFLEXIVE_PERSON = 4 end # This category shows if the token is part of a proper name. module Proper # Proper is not applicable in the analyzed language or is not predicted. PROPER_UNKNOWN = 0 # Proper PROPER = 1 # Not proper NOT_PROPER = 2 end # Reciprocal features of a pronoun. module Reciprocity # Reciprocity is not applicable in the analyzed language or is not # predicted. RECIPROCITY_UNKNOWN = 0 # Reciprocal RECIPROCAL = 1 # Non-reciprocal NON_RECIPROCAL = 2 end # Time reference. module Tense # Tense is not applicable in the analyzed language or is not predicted. TENSE_UNKNOWN = 0 # Conditional CONDITIONAL_TENSE = 1 # Future FUTURE = 2 # Past PAST = 3 # Present PRESENT = 4 # Imperfect IMPERFECT = 5 # Pluperfect PLUPERFECT = 6 end # The relationship between the action that a verb expresses and the # participants identified by its arguments. module Voice # Voice is not applicable in the analyzed language or is not predicted. VOICE_UNKNOWN = 0 # Active ACTIVE = 1 # Causative CAUSATIVE = 2 # Passive PASSIVE = 3 end end # Represents dependency parse tree information for a token. (For more # information on dependency labels, see # http://www.aclweb.org/anthology/P13-2017 # @!attribute [rw] head_token_index # @return [Integer] # Represents the head of this token in the dependency tree. # This is the index of the token which has an arc going to this token. # The index is the position of the token in the array of tokens returned # by the API method. If this token is a root token, then the # `head_token_index` is its own index. # @!attribute [rw] label # @return [Google::Cloud::Language::V1::DependencyEdge::Label] # The parse label for the token. class DependencyEdge include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods # The parse label enum for the token. module Label # Unknown UNKNOWN = 0 # Abbreviation modifier ABBREV = 1 # Adjectival complement ACOMP = 2 # Adverbial clause modifier ADVCL = 3 # Adverbial modifier ADVMOD = 4 # Adjectival modifier of an NP AMOD = 5 # Appositional modifier of an NP APPOS = 6 # Attribute dependent of a copular verb ATTR = 7 # Auxiliary (non-main) verb AUX = 8 # Passive auxiliary AUXPASS = 9 # Coordinating conjunction CC = 10 # Clausal complement of a verb or adjective CCOMP = 11 # Conjunct CONJ = 12 # Clausal subject CSUBJ = 13 # Clausal passive subject CSUBJPASS = 14 # Dependency (unable to determine) DEP = 15 # Determiner DET = 16 # Discourse DISCOURSE = 17 # Direct object DOBJ = 18 # Expletive EXPL = 19 # Goes with (part of a word in a text not well edited) GOESWITH = 20 # Indirect object IOBJ = 21 # Marker (word introducing a subordinate clause) MARK = 22 # Multi-word expression MWE = 23 # Multi-word verbal expression MWV = 24 # Negation modifier NEG = 25 # Noun compound modifier NN = 26 # Noun phrase used as an adverbial modifier NPADVMOD = 27 # Nominal subject NSUBJ = 28 # Passive nominal subject NSUBJPASS = 29 # Numeric modifier of a noun NUM = 30 # Element of compound number NUMBER = 31 # Punctuation mark P = 32 # Parataxis relation PARATAXIS = 33 # Participial modifier PARTMOD = 34 # The complement of a preposition is a clause PCOMP = 35 # Object of a preposition POBJ = 36 # Possession modifier POSS = 37 # Postverbal negative particle POSTNEG = 38 # Predicate complement PRECOMP = 39 # Preconjunt PRECONJ = 40 # Predeterminer PREDET = 41 # Prefix PREF = 42 # Prepositional modifier PREP = 43 # The relationship between a verb and verbal morpheme PRONL = 44 # Particle PRT = 45 # Associative or possessive marker PS = 46 # Quantifier phrase modifier QUANTMOD = 47 # Relative clause modifier RCMOD = 48 # Complementizer in relative clause RCMODREL = 49 # Ellipsis without a preceding predicate RDROP = 50 # Referent REF = 51 # Remnant REMNANT = 52 # Reparandum REPARANDUM = 53 # Root ROOT = 54 # Suffix specifying a unit of number SNUM = 55 # Suffix SUFF = 56 # Temporal modifier TMOD = 57 # Topic marker TOPIC = 58 # Clause headed by an infinite form of the verb that modifies a noun VMOD = 59 # Vocative VOCATIVE = 60 # Open clausal complement XCOMP = 61 # Name suffix SUFFIX = 62 # Name title TITLE = 63 # Adverbial phrase modifier ADVPHMOD = 64 # Causative auxiliary AUXCAUS = 65 # Helper auxiliary AUXVV = 66 # Rentaishi (Prenominal modifier) DTMOD = 67 # Foreign words FOREIGN = 68 # Keyword KW = 69 # List for chains of comparable items LIST = 70 # Nominalized clause NOMC = 71 # Nominalized clausal subject NOMCSUBJ = 72 # Nominalized clausal passive NOMCSUBJPASS = 73 # Compound of numeric modifier NUMC = 74 # Copula COP = 75 # Dislocated relation (for fronted/topicalized elements) DISLOCATED = 76 # Aspect marker ASP = 77 # Genitive modifier GMOD = 78 # Genitive object GOBJ = 79 # Infinitival modifier INFMOD = 80 # Measure MES = 81 # Nominal complement of a noun NCOMP = 82 end end # Represents a mention for an entity in the text. Currently, proper noun # mentions are supported. # @!attribute [rw] text # @return [Google::Cloud::Language::V1::TextSpan] # The mention text. # @!attribute [rw] type # @return [Google::Cloud::Language::V1::EntityMention::Type] # The type of the entity mention. # @!attribute [rw] sentiment # @return [Google::Cloud::Language::V1::Sentiment] # For calls to [AnalyzeEntitySentiment][] or if # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_entity_sentiment AnnotateTextRequest.Features.extract_entity_sentiment} is set to # true, this field will contain the sentiment expressed for this mention of # the entity in the provided document. class EntityMention include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods # The supported types of mentions. module Type # Unknown TYPE_UNKNOWN = 0 # Proper name PROPER = 1 # Common noun (or noun compound) COMMON = 2 end end # Represents an output piece of text. # @!attribute [rw] content # @return [String] # The content of the output text. # @!attribute [rw] begin_offset # @return [Integer] # The API calculates the beginning offset of the content in the original # document according to the {Google::Cloud::Language::V1::EncodingType EncodingType} specified in the API request. class TextSpan include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # Represents a category returned from the text classifier. # @!attribute [rw] name # @return [String] # The name of the category representing the document, from the [predefined # taxonomy](https://cloud.google.com/natural-language/docs/categories). # @!attribute [rw] confidence # @return [Float] # The classifier's confidence of the category. Number represents how certain # the classifier is that this category represents the given text. class ClassificationCategory include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The sentiment analysis request message. # @!attribute [rw] document # @return [Google::Cloud::Language::V1::Document] # Input document. # @!attribute [rw] encoding_type # @return [Google::Cloud::Language::V1::EncodingType] # The encoding type used by the API to calculate sentence offsets. class AnalyzeSentimentRequest include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The sentiment analysis response message. # @!attribute [rw] document_sentiment # @return [Google::Cloud::Language::V1::Sentiment] # The overall sentiment of the input document. # @!attribute [rw] language # @return [String] # The language of the text, which will be the same as the language specified # in the request or, if not specified, the automatically-detected language. # See {Google::Cloud::Language::V1::Document#language Document.language} field for more details. # @!attribute [rw] sentences # @return [Array] # The sentiment for all the sentences in the document. class AnalyzeSentimentResponse include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The entity-level sentiment analysis request message. # @!attribute [rw] document # @return [Google::Cloud::Language::V1::Document] # Input document. # @!attribute [rw] encoding_type # @return [Google::Cloud::Language::V1::EncodingType] # The encoding type used by the API to calculate offsets. class AnalyzeEntitySentimentRequest include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The entity-level sentiment analysis response message. # @!attribute [rw] entities # @return [Array] # The recognized entities in the input document with associated sentiments. # @!attribute [rw] language # @return [String] # The language of the text, which will be the same as the language specified # in the request or, if not specified, the automatically-detected language. # See {Google::Cloud::Language::V1::Document#language Document.language} field for more details. class AnalyzeEntitySentimentResponse include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The entity analysis request message. # @!attribute [rw] document # @return [Google::Cloud::Language::V1::Document] # Input document. # @!attribute [rw] encoding_type # @return [Google::Cloud::Language::V1::EncodingType] # The encoding type used by the API to calculate offsets. class AnalyzeEntitiesRequest include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The entity analysis response message. # @!attribute [rw] entities # @return [Array] # The recognized entities in the input document. # @!attribute [rw] language # @return [String] # The language of the text, which will be the same as the language specified # in the request or, if not specified, the automatically-detected language. # See {Google::Cloud::Language::V1::Document#language Document.language} field for more details. class AnalyzeEntitiesResponse include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The syntax analysis request message. # @!attribute [rw] document # @return [Google::Cloud::Language::V1::Document] # Input document. # @!attribute [rw] encoding_type # @return [Google::Cloud::Language::V1::EncodingType] # The encoding type used by the API to calculate offsets. class AnalyzeSyntaxRequest include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The syntax analysis response message. # @!attribute [rw] sentences # @return [Array] # Sentences in the input document. # @!attribute [rw] tokens # @return [Array] # Tokens, along with their syntactic information, in the input document. # @!attribute [rw] language # @return [String] # The language of the text, which will be the same as the language specified # in the request or, if not specified, the automatically-detected language. # See {Google::Cloud::Language::V1::Document#language Document.language} field for more details. class AnalyzeSyntaxResponse include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The document classification request message. # @!attribute [rw] document # @return [Google::Cloud::Language::V1::Document] # Input document. class ClassifyTextRequest include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The document classification response message. # @!attribute [rw] categories # @return [Array] # Categories representing the input document. class ClassifyTextResponse include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # The request message for the text annotation API, which can perform multiple # analysis types (sentiment, entities, and syntax) in one call. # @!attribute [rw] document # @return [Google::Cloud::Language::V1::Document] # Input document. # @!attribute [rw] features # @return [Google::Cloud::Language::V1::AnnotateTextRequest::Features] # The enabled features. # @!attribute [rw] encoding_type # @return [Google::Cloud::Language::V1::EncodingType] # The encoding type used by the API to calculate offsets. class AnnotateTextRequest include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods # All available features for sentiment, syntax, and semantic analysis. # Setting each one to true will enable that specific analysis for the input. # @!attribute [rw] extract_syntax # @return [Boolean] # Extract syntax information. # @!attribute [rw] extract_entities # @return [Boolean] # Extract entities. # @!attribute [rw] extract_document_sentiment # @return [Boolean] # Extract document-level sentiment. # @!attribute [rw] extract_entity_sentiment # @return [Boolean] # Extract entities and their associated sentiment. # @!attribute [rw] classify_text # @return [Boolean] # Classify the full document into categories. class Features include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end end # The text annotations response message. # @!attribute [rw] sentences # @return [Array] # Sentences in the input document. Populated if the user enables # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_syntax AnnotateTextRequest.Features.extract_syntax}. # @!attribute [rw] tokens # @return [Array] # Tokens, along with their syntactic information, in the input document. # Populated if the user enables # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_syntax AnnotateTextRequest.Features.extract_syntax}. # @!attribute [rw] entities # @return [Array] # Entities, along with their semantic information, in the input document. # Populated if the user enables # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_entities AnnotateTextRequest.Features.extract_entities}. # @!attribute [rw] document_sentiment # @return [Google::Cloud::Language::V1::Sentiment] # The overall sentiment for the document. Populated if the user enables # {Google::Cloud::Language::V1::AnnotateTextRequest::Features#extract_document_sentiment AnnotateTextRequest.Features.extract_document_sentiment}. # @!attribute [rw] language # @return [String] # The language of the text, which will be the same as the language specified # in the request or, if not specified, the automatically-detected language. # See {Google::Cloud::Language::V1::Document#language Document.language} field for more details. # @!attribute [rw] categories # @return [Array] # Categories identified in the input document. class AnnotateTextResponse include Google::Protobuf::MessageExts extend Google::Protobuf::MessageExts::ClassMethods end # Represents the text encoding that the caller uses to process the output. # Providing an `EncodingType` is recommended because the API provides the # beginning offsets for various outputs, such as tokens and mentions, and # languages that natively use different text encodings may access offsets # differently. module EncodingType # If `EncodingType` is not specified, encoding-dependent information (such as # `begin_offset`) will be set at `-1`. NONE = 0 # Encoding-dependent information (such as `begin_offset`) is calculated based # on the UTF-8 encoding of the input. C++ and Go are examples of languages # that use this encoding natively. UTF8 = 1 # Encoding-dependent information (such as `begin_offset`) is calculated based # on the UTF-16 encoding of the input. Java and JavaScript are examples of # languages that use this encoding natively. UTF16 = 2 # Encoding-dependent information (such as `begin_offset`) is calculated based # on the UTF-32 encoding of the input. Python is an example of a language # that uses this encoding natively. UTF32 = 3 end end end end end