# 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:
# number
– the actual number, broken down into
# sections as per local convention national_prefix
# – country code, if detected area_code
–
# region or area code, if detected extension
–
# phone extension (to be dialed after connection), if detected
PHONE_NUMBER = 9
# Address
# The metadata identifies the street number and locality plus whichever
# additional elements appear in the text:
# street_number
– street number
# locality
– city or town
# street_name
– street/route name, if detected
# postal_code
– postal code, if detected
# country
– country, if detected
# broad_region
– administrative area, such as the
# state, if detected narrow_region
– smaller
# administrative area, such as county, if detected
# sublocality
– used in Asian addresses to demark a
# district within a city, if detected
ADDRESS = 10
# Date
# The metadata identifies the components of the date:
# year
– four digit year, if detected
# month
– two digit month number, if detected
# day
– two digit day number, if detected
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