/usr/share/gocode/src/google.golang.org/genproto/googleapis/cloud/language/v1beta2/language_service.pb.go is in golang-google-genproto-dev 0.0~git20171123.7f0da29-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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DO NOT EDIT.
// source: google/cloud/language/v1beta2/language_service.proto
/*
Package language is a generated protocol buffer package.
It is generated from these files:
google/cloud/language/v1beta2/language_service.proto
It has these top-level messages:
Document
Sentence
Entity
Token
Sentiment
PartOfSpeech
DependencyEdge
EntityMention
TextSpan
ClassificationCategory
AnalyzeSentimentRequest
AnalyzeSentimentResponse
AnalyzeEntitySentimentRequest
AnalyzeEntitySentimentResponse
AnalyzeEntitiesRequest
AnalyzeEntitiesResponse
AnalyzeSyntaxRequest
AnalyzeSyntaxResponse
ClassifyTextRequest
ClassifyTextResponse
AnnotateTextRequest
AnnotateTextResponse
*/
package language
import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import _ "google.golang.org/genproto/googleapis/api/annotations"
import _ "google.golang.org/genproto/googleapis/longrunning"
import _ "github.com/golang/protobuf/ptypes/timestamp"
import _ "google.golang.org/genproto/googleapis/rpc/status"
import (
context "golang.org/x/net/context"
grpc "google.golang.org/grpc"
)
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf
// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package
// 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.
type EncodingType int32
const (
// If `EncodingType` is not specified, encoding-dependent information (such as
// `begin_offset`) will be set at `-1`.
EncodingType_NONE EncodingType = 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.
EncodingType_UTF8 EncodingType = 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.
EncodingType_UTF16 EncodingType = 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.
EncodingType_UTF32 EncodingType = 3
)
var EncodingType_name = map[int32]string{
0: "NONE",
1: "UTF8",
2: "UTF16",
3: "UTF32",
}
var EncodingType_value = map[string]int32{
"NONE": 0,
"UTF8": 1,
"UTF16": 2,
"UTF32": 3,
}
func (x EncodingType) String() string {
return proto.EnumName(EncodingType_name, int32(x))
}
func (EncodingType) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }
// The document types enum.
type Document_Type int32
const (
// The content type is not specified.
Document_TYPE_UNSPECIFIED Document_Type = 0
// Plain text
Document_PLAIN_TEXT Document_Type = 1
// HTML
Document_HTML Document_Type = 2
)
var Document_Type_name = map[int32]string{
0: "TYPE_UNSPECIFIED",
1: "PLAIN_TEXT",
2: "HTML",
}
var Document_Type_value = map[string]int32{
"TYPE_UNSPECIFIED": 0,
"PLAIN_TEXT": 1,
"HTML": 2,
}
func (x Document_Type) String() string {
return proto.EnumName(Document_Type_name, int32(x))
}
func (Document_Type) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{0, 0} }
// The type of the entity.
type Entity_Type int32
const (
// Unknown
Entity_UNKNOWN Entity_Type = 0
// Person
Entity_PERSON Entity_Type = 1
// Location
Entity_LOCATION Entity_Type = 2
// Organization
Entity_ORGANIZATION Entity_Type = 3
// Event
Entity_EVENT Entity_Type = 4
// Work of art
Entity_WORK_OF_ART Entity_Type = 5
// Consumer goods
Entity_CONSUMER_GOOD Entity_Type = 6
// Other types
Entity_OTHER Entity_Type = 7
)
var Entity_Type_name = map[int32]string{
0: "UNKNOWN",
1: "PERSON",
2: "LOCATION",
3: "ORGANIZATION",
4: "EVENT",
5: "WORK_OF_ART",
6: "CONSUMER_GOOD",
7: "OTHER",
}
var Entity_Type_value = map[string]int32{
"UNKNOWN": 0,
"PERSON": 1,
"LOCATION": 2,
"ORGANIZATION": 3,
"EVENT": 4,
"WORK_OF_ART": 5,
"CONSUMER_GOOD": 6,
"OTHER": 7,
}
func (x Entity_Type) String() string {
return proto.EnumName(Entity_Type_name, int32(x))
}
func (Entity_Type) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{2, 0} }
// The part of speech tags enum.
type PartOfSpeech_Tag int32
const (
// Unknown
PartOfSpeech_UNKNOWN PartOfSpeech_Tag = 0
// Adjective
PartOfSpeech_ADJ PartOfSpeech_Tag = 1
// Adposition (preposition and postposition)
PartOfSpeech_ADP PartOfSpeech_Tag = 2
// Adverb
PartOfSpeech_ADV PartOfSpeech_Tag = 3
// Conjunction
PartOfSpeech_CONJ PartOfSpeech_Tag = 4
// Determiner
PartOfSpeech_DET PartOfSpeech_Tag = 5
// Noun (common and proper)
PartOfSpeech_NOUN PartOfSpeech_Tag = 6
// Cardinal number
PartOfSpeech_NUM PartOfSpeech_Tag = 7
// Pronoun
PartOfSpeech_PRON PartOfSpeech_Tag = 8
// Particle or other function word
PartOfSpeech_PRT PartOfSpeech_Tag = 9
// Punctuation
PartOfSpeech_PUNCT PartOfSpeech_Tag = 10
// Verb (all tenses and modes)
PartOfSpeech_VERB PartOfSpeech_Tag = 11
// Other: foreign words, typos, abbreviations
PartOfSpeech_X PartOfSpeech_Tag = 12
// Affix
PartOfSpeech_AFFIX PartOfSpeech_Tag = 13
)
var PartOfSpeech_Tag_name = map[int32]string{
0: "UNKNOWN",
1: "ADJ",
2: "ADP",
3: "ADV",
4: "CONJ",
5: "DET",
6: "NOUN",
7: "NUM",
8: "PRON",
9: "PRT",
10: "PUNCT",
11: "VERB",
12: "X",
13: "AFFIX",
}
var PartOfSpeech_Tag_value = map[string]int32{
"UNKNOWN": 0,
"ADJ": 1,
"ADP": 2,
"ADV": 3,
"CONJ": 4,
"DET": 5,
"NOUN": 6,
"NUM": 7,
"PRON": 8,
"PRT": 9,
"PUNCT": 10,
"VERB": 11,
"X": 12,
"AFFIX": 13,
}
func (x PartOfSpeech_Tag) String() string {
return proto.EnumName(PartOfSpeech_Tag_name, int32(x))
}
func (PartOfSpeech_Tag) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 0} }
// The characteristic of a verb that expresses time flow during an event.
type PartOfSpeech_Aspect int32
const (
// Aspect is not applicable in the analyzed language or is not predicted.
PartOfSpeech_ASPECT_UNKNOWN PartOfSpeech_Aspect = 0
// Perfective
PartOfSpeech_PERFECTIVE PartOfSpeech_Aspect = 1
// Imperfective
PartOfSpeech_IMPERFECTIVE PartOfSpeech_Aspect = 2
// Progressive
PartOfSpeech_PROGRESSIVE PartOfSpeech_Aspect = 3
)
var PartOfSpeech_Aspect_name = map[int32]string{
0: "ASPECT_UNKNOWN",
1: "PERFECTIVE",
2: "IMPERFECTIVE",
3: "PROGRESSIVE",
}
var PartOfSpeech_Aspect_value = map[string]int32{
"ASPECT_UNKNOWN": 0,
"PERFECTIVE": 1,
"IMPERFECTIVE": 2,
"PROGRESSIVE": 3,
}
func (x PartOfSpeech_Aspect) String() string {
return proto.EnumName(PartOfSpeech_Aspect_name, int32(x))
}
func (PartOfSpeech_Aspect) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 1} }
// 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.
type PartOfSpeech_Case int32
const (
// Case is not applicable in the analyzed language or is not predicted.
PartOfSpeech_CASE_UNKNOWN PartOfSpeech_Case = 0
// Accusative
PartOfSpeech_ACCUSATIVE PartOfSpeech_Case = 1
// Adverbial
PartOfSpeech_ADVERBIAL PartOfSpeech_Case = 2
// Complementive
PartOfSpeech_COMPLEMENTIVE PartOfSpeech_Case = 3
// Dative
PartOfSpeech_DATIVE PartOfSpeech_Case = 4
// Genitive
PartOfSpeech_GENITIVE PartOfSpeech_Case = 5
// Instrumental
PartOfSpeech_INSTRUMENTAL PartOfSpeech_Case = 6
// Locative
PartOfSpeech_LOCATIVE PartOfSpeech_Case = 7
// Nominative
PartOfSpeech_NOMINATIVE PartOfSpeech_Case = 8
// Oblique
PartOfSpeech_OBLIQUE PartOfSpeech_Case = 9
// Partitive
PartOfSpeech_PARTITIVE PartOfSpeech_Case = 10
// Prepositional
PartOfSpeech_PREPOSITIONAL PartOfSpeech_Case = 11
// Reflexive
PartOfSpeech_REFLEXIVE_CASE PartOfSpeech_Case = 12
// Relative
PartOfSpeech_RELATIVE_CASE PartOfSpeech_Case = 13
// Vocative
PartOfSpeech_VOCATIVE PartOfSpeech_Case = 14
)
var PartOfSpeech_Case_name = map[int32]string{
0: "CASE_UNKNOWN",
1: "ACCUSATIVE",
2: "ADVERBIAL",
3: "COMPLEMENTIVE",
4: "DATIVE",
5: "GENITIVE",
6: "INSTRUMENTAL",
7: "LOCATIVE",
8: "NOMINATIVE",
9: "OBLIQUE",
10: "PARTITIVE",
11: "PREPOSITIONAL",
12: "REFLEXIVE_CASE",
13: "RELATIVE_CASE",
14: "VOCATIVE",
}
var PartOfSpeech_Case_value = map[string]int32{
"CASE_UNKNOWN": 0,
"ACCUSATIVE": 1,
"ADVERBIAL": 2,
"COMPLEMENTIVE": 3,
"DATIVE": 4,
"GENITIVE": 5,
"INSTRUMENTAL": 6,
"LOCATIVE": 7,
"NOMINATIVE": 8,
"OBLIQUE": 9,
"PARTITIVE": 10,
"PREPOSITIONAL": 11,
"REFLEXIVE_CASE": 12,
"RELATIVE_CASE": 13,
"VOCATIVE": 14,
}
func (x PartOfSpeech_Case) String() string {
return proto.EnumName(PartOfSpeech_Case_name, int32(x))
}
func (PartOfSpeech_Case) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 2} }
// 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
type PartOfSpeech_Form int32
const (
// Form is not applicable in the analyzed language or is not predicted.
PartOfSpeech_FORM_UNKNOWN PartOfSpeech_Form = 0
// Adnomial
PartOfSpeech_ADNOMIAL PartOfSpeech_Form = 1
// Auxiliary
PartOfSpeech_AUXILIARY PartOfSpeech_Form = 2
// Complementizer
PartOfSpeech_COMPLEMENTIZER PartOfSpeech_Form = 3
// Final ending
PartOfSpeech_FINAL_ENDING PartOfSpeech_Form = 4
// Gerund
PartOfSpeech_GERUND PartOfSpeech_Form = 5
// Realis
PartOfSpeech_REALIS PartOfSpeech_Form = 6
// Irrealis
PartOfSpeech_IRREALIS PartOfSpeech_Form = 7
// Short form
PartOfSpeech_SHORT PartOfSpeech_Form = 8
// Long form
PartOfSpeech_LONG PartOfSpeech_Form = 9
// Order form
PartOfSpeech_ORDER PartOfSpeech_Form = 10
// Specific form
PartOfSpeech_SPECIFIC PartOfSpeech_Form = 11
)
var PartOfSpeech_Form_name = map[int32]string{
0: "FORM_UNKNOWN",
1: "ADNOMIAL",
2: "AUXILIARY",
3: "COMPLEMENTIZER",
4: "FINAL_ENDING",
5: "GERUND",
6: "REALIS",
7: "IRREALIS",
8: "SHORT",
9: "LONG",
10: "ORDER",
11: "SPECIFIC",
}
var PartOfSpeech_Form_value = map[string]int32{
"FORM_UNKNOWN": 0,
"ADNOMIAL": 1,
"AUXILIARY": 2,
"COMPLEMENTIZER": 3,
"FINAL_ENDING": 4,
"GERUND": 5,
"REALIS": 6,
"IRREALIS": 7,
"SHORT": 8,
"LONG": 9,
"ORDER": 10,
"SPECIFIC": 11,
}
func (x PartOfSpeech_Form) String() string {
return proto.EnumName(PartOfSpeech_Form_name, int32(x))
}
func (PartOfSpeech_Form) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 3} }
// Gender classes of nouns reflected in the behaviour of associated words.
type PartOfSpeech_Gender int32
const (
// Gender is not applicable in the analyzed language or is not predicted.
PartOfSpeech_GENDER_UNKNOWN PartOfSpeech_Gender = 0
// Feminine
PartOfSpeech_FEMININE PartOfSpeech_Gender = 1
// Masculine
PartOfSpeech_MASCULINE PartOfSpeech_Gender = 2
// Neuter
PartOfSpeech_NEUTER PartOfSpeech_Gender = 3
)
var PartOfSpeech_Gender_name = map[int32]string{
0: "GENDER_UNKNOWN",
1: "FEMININE",
2: "MASCULINE",
3: "NEUTER",
}
var PartOfSpeech_Gender_value = map[string]int32{
"GENDER_UNKNOWN": 0,
"FEMININE": 1,
"MASCULINE": 2,
"NEUTER": 3,
}
func (x PartOfSpeech_Gender) String() string {
return proto.EnumName(PartOfSpeech_Gender_name, int32(x))
}
func (PartOfSpeech_Gender) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 4} }
// The grammatical feature of verbs, used for showing modality and attitude.
type PartOfSpeech_Mood int32
const (
// Mood is not applicable in the analyzed language or is not predicted.
PartOfSpeech_MOOD_UNKNOWN PartOfSpeech_Mood = 0
// Conditional
PartOfSpeech_CONDITIONAL_MOOD PartOfSpeech_Mood = 1
// Imperative
PartOfSpeech_IMPERATIVE PartOfSpeech_Mood = 2
// Indicative
PartOfSpeech_INDICATIVE PartOfSpeech_Mood = 3
// Interrogative
PartOfSpeech_INTERROGATIVE PartOfSpeech_Mood = 4
// Jussive
PartOfSpeech_JUSSIVE PartOfSpeech_Mood = 5
// Subjunctive
PartOfSpeech_SUBJUNCTIVE PartOfSpeech_Mood = 6
)
var PartOfSpeech_Mood_name = map[int32]string{
0: "MOOD_UNKNOWN",
1: "CONDITIONAL_MOOD",
2: "IMPERATIVE",
3: "INDICATIVE",
4: "INTERROGATIVE",
5: "JUSSIVE",
6: "SUBJUNCTIVE",
}
var PartOfSpeech_Mood_value = map[string]int32{
"MOOD_UNKNOWN": 0,
"CONDITIONAL_MOOD": 1,
"IMPERATIVE": 2,
"INDICATIVE": 3,
"INTERROGATIVE": 4,
"JUSSIVE": 5,
"SUBJUNCTIVE": 6,
}
func (x PartOfSpeech_Mood) String() string {
return proto.EnumName(PartOfSpeech_Mood_name, int32(x))
}
func (PartOfSpeech_Mood) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 5} }
// Count distinctions.
type PartOfSpeech_Number int32
const (
// Number is not applicable in the analyzed language or is not predicted.
PartOfSpeech_NUMBER_UNKNOWN PartOfSpeech_Number = 0
// Singular
PartOfSpeech_SINGULAR PartOfSpeech_Number = 1
// Plural
PartOfSpeech_PLURAL PartOfSpeech_Number = 2
// Dual
PartOfSpeech_DUAL PartOfSpeech_Number = 3
)
var PartOfSpeech_Number_name = map[int32]string{
0: "NUMBER_UNKNOWN",
1: "SINGULAR",
2: "PLURAL",
3: "DUAL",
}
var PartOfSpeech_Number_value = map[string]int32{
"NUMBER_UNKNOWN": 0,
"SINGULAR": 1,
"PLURAL": 2,
"DUAL": 3,
}
func (x PartOfSpeech_Number) String() string {
return proto.EnumName(PartOfSpeech_Number_name, int32(x))
}
func (PartOfSpeech_Number) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 6} }
// The distinction between the speaker, second person, third person, etc.
type PartOfSpeech_Person int32
const (
// Person is not applicable in the analyzed language or is not predicted.
PartOfSpeech_PERSON_UNKNOWN PartOfSpeech_Person = 0
// First
PartOfSpeech_FIRST PartOfSpeech_Person = 1
// Second
PartOfSpeech_SECOND PartOfSpeech_Person = 2
// Third
PartOfSpeech_THIRD PartOfSpeech_Person = 3
// Reflexive
PartOfSpeech_REFLEXIVE_PERSON PartOfSpeech_Person = 4
)
var PartOfSpeech_Person_name = map[int32]string{
0: "PERSON_UNKNOWN",
1: "FIRST",
2: "SECOND",
3: "THIRD",
4: "REFLEXIVE_PERSON",
}
var PartOfSpeech_Person_value = map[string]int32{
"PERSON_UNKNOWN": 0,
"FIRST": 1,
"SECOND": 2,
"THIRD": 3,
"REFLEXIVE_PERSON": 4,
}
func (x PartOfSpeech_Person) String() string {
return proto.EnumName(PartOfSpeech_Person_name, int32(x))
}
func (PartOfSpeech_Person) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 7} }
// This category shows if the token is part of a proper name.
type PartOfSpeech_Proper int32
const (
// Proper is not applicable in the analyzed language or is not predicted.
PartOfSpeech_PROPER_UNKNOWN PartOfSpeech_Proper = 0
// Proper
PartOfSpeech_PROPER PartOfSpeech_Proper = 1
// Not proper
PartOfSpeech_NOT_PROPER PartOfSpeech_Proper = 2
)
var PartOfSpeech_Proper_name = map[int32]string{
0: "PROPER_UNKNOWN",
1: "PROPER",
2: "NOT_PROPER",
}
var PartOfSpeech_Proper_value = map[string]int32{
"PROPER_UNKNOWN": 0,
"PROPER": 1,
"NOT_PROPER": 2,
}
func (x PartOfSpeech_Proper) String() string {
return proto.EnumName(PartOfSpeech_Proper_name, int32(x))
}
func (PartOfSpeech_Proper) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 8} }
// Reciprocal features of a pronoun.
type PartOfSpeech_Reciprocity int32
const (
// Reciprocity is not applicable in the analyzed language or is not
// predicted.
PartOfSpeech_RECIPROCITY_UNKNOWN PartOfSpeech_Reciprocity = 0
// Reciprocal
PartOfSpeech_RECIPROCAL PartOfSpeech_Reciprocity = 1
// Non-reciprocal
PartOfSpeech_NON_RECIPROCAL PartOfSpeech_Reciprocity = 2
)
var PartOfSpeech_Reciprocity_name = map[int32]string{
0: "RECIPROCITY_UNKNOWN",
1: "RECIPROCAL",
2: "NON_RECIPROCAL",
}
var PartOfSpeech_Reciprocity_value = map[string]int32{
"RECIPROCITY_UNKNOWN": 0,
"RECIPROCAL": 1,
"NON_RECIPROCAL": 2,
}
func (x PartOfSpeech_Reciprocity) String() string {
return proto.EnumName(PartOfSpeech_Reciprocity_name, int32(x))
}
func (PartOfSpeech_Reciprocity) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 9} }
// Time reference.
type PartOfSpeech_Tense int32
const (
// Tense is not applicable in the analyzed language or is not predicted.
PartOfSpeech_TENSE_UNKNOWN PartOfSpeech_Tense = 0
// Conditional
PartOfSpeech_CONDITIONAL_TENSE PartOfSpeech_Tense = 1
// Future
PartOfSpeech_FUTURE PartOfSpeech_Tense = 2
// Past
PartOfSpeech_PAST PartOfSpeech_Tense = 3
// Present
PartOfSpeech_PRESENT PartOfSpeech_Tense = 4
// Imperfect
PartOfSpeech_IMPERFECT PartOfSpeech_Tense = 5
// Pluperfect
PartOfSpeech_PLUPERFECT PartOfSpeech_Tense = 6
)
var PartOfSpeech_Tense_name = map[int32]string{
0: "TENSE_UNKNOWN",
1: "CONDITIONAL_TENSE",
2: "FUTURE",
3: "PAST",
4: "PRESENT",
5: "IMPERFECT",
6: "PLUPERFECT",
}
var PartOfSpeech_Tense_value = map[string]int32{
"TENSE_UNKNOWN": 0,
"CONDITIONAL_TENSE": 1,
"FUTURE": 2,
"PAST": 3,
"PRESENT": 4,
"IMPERFECT": 5,
"PLUPERFECT": 6,
}
func (x PartOfSpeech_Tense) String() string {
return proto.EnumName(PartOfSpeech_Tense_name, int32(x))
}
func (PartOfSpeech_Tense) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 10} }
// The relationship between the action that a verb expresses and the
// participants identified by its arguments.
type PartOfSpeech_Voice int32
const (
// Voice is not applicable in the analyzed language or is not predicted.
PartOfSpeech_VOICE_UNKNOWN PartOfSpeech_Voice = 0
// Active
PartOfSpeech_ACTIVE PartOfSpeech_Voice = 1
// Causative
PartOfSpeech_CAUSATIVE PartOfSpeech_Voice = 2
// Passive
PartOfSpeech_PASSIVE PartOfSpeech_Voice = 3
)
var PartOfSpeech_Voice_name = map[int32]string{
0: "VOICE_UNKNOWN",
1: "ACTIVE",
2: "CAUSATIVE",
3: "PASSIVE",
}
var PartOfSpeech_Voice_value = map[string]int32{
"VOICE_UNKNOWN": 0,
"ACTIVE": 1,
"CAUSATIVE": 2,
"PASSIVE": 3,
}
func (x PartOfSpeech_Voice) String() string {
return proto.EnumName(PartOfSpeech_Voice_name, int32(x))
}
func (PartOfSpeech_Voice) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 11} }
// The parse label enum for the token.
type DependencyEdge_Label int32
const (
// Unknown
DependencyEdge_UNKNOWN DependencyEdge_Label = 0
// Abbreviation modifier
DependencyEdge_ABBREV DependencyEdge_Label = 1
// Adjectival complement
DependencyEdge_ACOMP DependencyEdge_Label = 2
// Adverbial clause modifier
DependencyEdge_ADVCL DependencyEdge_Label = 3
// Adverbial modifier
DependencyEdge_ADVMOD DependencyEdge_Label = 4
// Adjectival modifier of an NP
DependencyEdge_AMOD DependencyEdge_Label = 5
// Appositional modifier of an NP
DependencyEdge_APPOS DependencyEdge_Label = 6
// Attribute dependent of a copular verb
DependencyEdge_ATTR DependencyEdge_Label = 7
// Auxiliary (non-main) verb
DependencyEdge_AUX DependencyEdge_Label = 8
// Passive auxiliary
DependencyEdge_AUXPASS DependencyEdge_Label = 9
// Coordinating conjunction
DependencyEdge_CC DependencyEdge_Label = 10
// Clausal complement of a verb or adjective
DependencyEdge_CCOMP DependencyEdge_Label = 11
// Conjunct
DependencyEdge_CONJ DependencyEdge_Label = 12
// Clausal subject
DependencyEdge_CSUBJ DependencyEdge_Label = 13
// Clausal passive subject
DependencyEdge_CSUBJPASS DependencyEdge_Label = 14
// Dependency (unable to determine)
DependencyEdge_DEP DependencyEdge_Label = 15
// Determiner
DependencyEdge_DET DependencyEdge_Label = 16
// Discourse
DependencyEdge_DISCOURSE DependencyEdge_Label = 17
// Direct object
DependencyEdge_DOBJ DependencyEdge_Label = 18
// Expletive
DependencyEdge_EXPL DependencyEdge_Label = 19
// Goes with (part of a word in a text not well edited)
DependencyEdge_GOESWITH DependencyEdge_Label = 20
// Indirect object
DependencyEdge_IOBJ DependencyEdge_Label = 21
// Marker (word introducing a subordinate clause)
DependencyEdge_MARK DependencyEdge_Label = 22
// Multi-word expression
DependencyEdge_MWE DependencyEdge_Label = 23
// Multi-word verbal expression
DependencyEdge_MWV DependencyEdge_Label = 24
// Negation modifier
DependencyEdge_NEG DependencyEdge_Label = 25
// Noun compound modifier
DependencyEdge_NN DependencyEdge_Label = 26
// Noun phrase used as an adverbial modifier
DependencyEdge_NPADVMOD DependencyEdge_Label = 27
// Nominal subject
DependencyEdge_NSUBJ DependencyEdge_Label = 28
// Passive nominal subject
DependencyEdge_NSUBJPASS DependencyEdge_Label = 29
// Numeric modifier of a noun
DependencyEdge_NUM DependencyEdge_Label = 30
// Element of compound number
DependencyEdge_NUMBER DependencyEdge_Label = 31
// Punctuation mark
DependencyEdge_P DependencyEdge_Label = 32
// Parataxis relation
DependencyEdge_PARATAXIS DependencyEdge_Label = 33
// Participial modifier
DependencyEdge_PARTMOD DependencyEdge_Label = 34
// The complement of a preposition is a clause
DependencyEdge_PCOMP DependencyEdge_Label = 35
// Object of a preposition
DependencyEdge_POBJ DependencyEdge_Label = 36
// Possession modifier
DependencyEdge_POSS DependencyEdge_Label = 37
// Postverbal negative particle
DependencyEdge_POSTNEG DependencyEdge_Label = 38
// Predicate complement
DependencyEdge_PRECOMP DependencyEdge_Label = 39
// Preconjunt
DependencyEdge_PRECONJ DependencyEdge_Label = 40
// Predeterminer
DependencyEdge_PREDET DependencyEdge_Label = 41
// Prefix
DependencyEdge_PREF DependencyEdge_Label = 42
// Prepositional modifier
DependencyEdge_PREP DependencyEdge_Label = 43
// The relationship between a verb and verbal morpheme
DependencyEdge_PRONL DependencyEdge_Label = 44
// Particle
DependencyEdge_PRT DependencyEdge_Label = 45
// Associative or possessive marker
DependencyEdge_PS DependencyEdge_Label = 46
// Quantifier phrase modifier
DependencyEdge_QUANTMOD DependencyEdge_Label = 47
// Relative clause modifier
DependencyEdge_RCMOD DependencyEdge_Label = 48
// Complementizer in relative clause
DependencyEdge_RCMODREL DependencyEdge_Label = 49
// Ellipsis without a preceding predicate
DependencyEdge_RDROP DependencyEdge_Label = 50
// Referent
DependencyEdge_REF DependencyEdge_Label = 51
// Remnant
DependencyEdge_REMNANT DependencyEdge_Label = 52
// Reparandum
DependencyEdge_REPARANDUM DependencyEdge_Label = 53
// Root
DependencyEdge_ROOT DependencyEdge_Label = 54
// Suffix specifying a unit of number
DependencyEdge_SNUM DependencyEdge_Label = 55
// Suffix
DependencyEdge_SUFF DependencyEdge_Label = 56
// Temporal modifier
DependencyEdge_TMOD DependencyEdge_Label = 57
// Topic marker
DependencyEdge_TOPIC DependencyEdge_Label = 58
// Clause headed by an infinite form of the verb that modifies a noun
DependencyEdge_VMOD DependencyEdge_Label = 59
// Vocative
DependencyEdge_VOCATIVE DependencyEdge_Label = 60
// Open clausal complement
DependencyEdge_XCOMP DependencyEdge_Label = 61
// Name suffix
DependencyEdge_SUFFIX DependencyEdge_Label = 62
// Name title
DependencyEdge_TITLE DependencyEdge_Label = 63
// Adverbial phrase modifier
DependencyEdge_ADVPHMOD DependencyEdge_Label = 64
// Causative auxiliary
DependencyEdge_AUXCAUS DependencyEdge_Label = 65
// Helper auxiliary
DependencyEdge_AUXVV DependencyEdge_Label = 66
// Rentaishi (Prenominal modifier)
DependencyEdge_DTMOD DependencyEdge_Label = 67
// Foreign words
DependencyEdge_FOREIGN DependencyEdge_Label = 68
// Keyword
DependencyEdge_KW DependencyEdge_Label = 69
// List for chains of comparable items
DependencyEdge_LIST DependencyEdge_Label = 70
// Nominalized clause
DependencyEdge_NOMC DependencyEdge_Label = 71
// Nominalized clausal subject
DependencyEdge_NOMCSUBJ DependencyEdge_Label = 72
// Nominalized clausal passive
DependencyEdge_NOMCSUBJPASS DependencyEdge_Label = 73
// Compound of numeric modifier
DependencyEdge_NUMC DependencyEdge_Label = 74
// Copula
DependencyEdge_COP DependencyEdge_Label = 75
// Dislocated relation (for fronted/topicalized elements)
DependencyEdge_DISLOCATED DependencyEdge_Label = 76
// Aspect marker
DependencyEdge_ASP DependencyEdge_Label = 77
// Genitive modifier
DependencyEdge_GMOD DependencyEdge_Label = 78
// Genitive object
DependencyEdge_GOBJ DependencyEdge_Label = 79
// Infinitival modifier
DependencyEdge_INFMOD DependencyEdge_Label = 80
// Measure
DependencyEdge_MES DependencyEdge_Label = 81
// Nominal complement of a noun
DependencyEdge_NCOMP DependencyEdge_Label = 82
)
var DependencyEdge_Label_name = map[int32]string{
0: "UNKNOWN",
1: "ABBREV",
2: "ACOMP",
3: "ADVCL",
4: "ADVMOD",
5: "AMOD",
6: "APPOS",
7: "ATTR",
8: "AUX",
9: "AUXPASS",
10: "CC",
11: "CCOMP",
12: "CONJ",
13: "CSUBJ",
14: "CSUBJPASS",
15: "DEP",
16: "DET",
17: "DISCOURSE",
18: "DOBJ",
19: "EXPL",
20: "GOESWITH",
21: "IOBJ",
22: "MARK",
23: "MWE",
24: "MWV",
25: "NEG",
26: "NN",
27: "NPADVMOD",
28: "NSUBJ",
29: "NSUBJPASS",
30: "NUM",
31: "NUMBER",
32: "P",
33: "PARATAXIS",
34: "PARTMOD",
35: "PCOMP",
36: "POBJ",
37: "POSS",
38: "POSTNEG",
39: "PRECOMP",
40: "PRECONJ",
41: "PREDET",
42: "PREF",
43: "PREP",
44: "PRONL",
45: "PRT",
46: "PS",
47: "QUANTMOD",
48: "RCMOD",
49: "RCMODREL",
50: "RDROP",
51: "REF",
52: "REMNANT",
53: "REPARANDUM",
54: "ROOT",
55: "SNUM",
56: "SUFF",
57: "TMOD",
58: "TOPIC",
59: "VMOD",
60: "VOCATIVE",
61: "XCOMP",
62: "SUFFIX",
63: "TITLE",
64: "ADVPHMOD",
65: "AUXCAUS",
66: "AUXVV",
67: "DTMOD",
68: "FOREIGN",
69: "KW",
70: "LIST",
71: "NOMC",
72: "NOMCSUBJ",
73: "NOMCSUBJPASS",
74: "NUMC",
75: "COP",
76: "DISLOCATED",
77: "ASP",
78: "GMOD",
79: "GOBJ",
80: "INFMOD",
81: "MES",
82: "NCOMP",
}
var DependencyEdge_Label_value = map[string]int32{
"UNKNOWN": 0,
"ABBREV": 1,
"ACOMP": 2,
"ADVCL": 3,
"ADVMOD": 4,
"AMOD": 5,
"APPOS": 6,
"ATTR": 7,
"AUX": 8,
"AUXPASS": 9,
"CC": 10,
"CCOMP": 11,
"CONJ": 12,
"CSUBJ": 13,
"CSUBJPASS": 14,
"DEP": 15,
"DET": 16,
"DISCOURSE": 17,
"DOBJ": 18,
"EXPL": 19,
"GOESWITH": 20,
"IOBJ": 21,
"MARK": 22,
"MWE": 23,
"MWV": 24,
"NEG": 25,
"NN": 26,
"NPADVMOD": 27,
"NSUBJ": 28,
"NSUBJPASS": 29,
"NUM": 30,
"NUMBER": 31,
"P": 32,
"PARATAXIS": 33,
"PARTMOD": 34,
"PCOMP": 35,
"POBJ": 36,
"POSS": 37,
"POSTNEG": 38,
"PRECOMP": 39,
"PRECONJ": 40,
"PREDET": 41,
"PREF": 42,
"PREP": 43,
"PRONL": 44,
"PRT": 45,
"PS": 46,
"QUANTMOD": 47,
"RCMOD": 48,
"RCMODREL": 49,
"RDROP": 50,
"REF": 51,
"REMNANT": 52,
"REPARANDUM": 53,
"ROOT": 54,
"SNUM": 55,
"SUFF": 56,
"TMOD": 57,
"TOPIC": 58,
"VMOD": 59,
"VOCATIVE": 60,
"XCOMP": 61,
"SUFFIX": 62,
"TITLE": 63,
"ADVPHMOD": 64,
"AUXCAUS": 65,
"AUXVV": 66,
"DTMOD": 67,
"FOREIGN": 68,
"KW": 69,
"LIST": 70,
"NOMC": 71,
"NOMCSUBJ": 72,
"NOMCSUBJPASS": 73,
"NUMC": 74,
"COP": 75,
"DISLOCATED": 76,
"ASP": 77,
"GMOD": 78,
"GOBJ": 79,
"INFMOD": 80,
"MES": 81,
"NCOMP": 82,
}
func (x DependencyEdge_Label) String() string {
return proto.EnumName(DependencyEdge_Label_name, int32(x))
}
func (DependencyEdge_Label) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{6, 0} }
// The supported types of mentions.
type EntityMention_Type int32
const (
// Unknown
EntityMention_TYPE_UNKNOWN EntityMention_Type = 0
// Proper name
EntityMention_PROPER EntityMention_Type = 1
// Common noun (or noun compound)
EntityMention_COMMON EntityMention_Type = 2
)
var EntityMention_Type_name = map[int32]string{
0: "TYPE_UNKNOWN",
1: "PROPER",
2: "COMMON",
}
var EntityMention_Type_value = map[string]int32{
"TYPE_UNKNOWN": 0,
"PROPER": 1,
"COMMON": 2,
}
func (x EntityMention_Type) String() string {
return proto.EnumName(EntityMention_Type_name, int32(x))
}
func (EntityMention_Type) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{7, 0} }
// ################################################################ #
//
// Represents the input to API methods.
type Document struct {
// Required. If the type is not set or is `TYPE_UNSPECIFIED`,
// returns an `INVALID_ARGUMENT` error.
Type Document_Type `protobuf:"varint,1,opt,name=type,enum=google.cloud.language.v1beta2.Document_Type" json:"type,omitempty"`
// The source of the document: a string containing the content or a
// Google Cloud Storage URI.
//
// Types that are valid to be assigned to Source:
// *Document_Content
// *Document_GcsContentUri
Source isDocument_Source `protobuf_oneof:"source"`
// The language of the document (if not specified, the language is
// automatically detected). Both ISO and BCP-47 language codes are
// accepted.<br>
// [Language Support](/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.
Language string `protobuf:"bytes,4,opt,name=language" json:"language,omitempty"`
}
func (m *Document) Reset() { *m = Document{} }
func (m *Document) String() string { return proto.CompactTextString(m) }
func (*Document) ProtoMessage() {}
func (*Document) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }
type isDocument_Source interface {
isDocument_Source()
}
type Document_Content struct {
Content string `protobuf:"bytes,2,opt,name=content,oneof"`
}
type Document_GcsContentUri struct {
GcsContentUri string `protobuf:"bytes,3,opt,name=gcs_content_uri,json=gcsContentUri,oneof"`
}
func (*Document_Content) isDocument_Source() {}
func (*Document_GcsContentUri) isDocument_Source() {}
func (m *Document) GetSource() isDocument_Source {
if m != nil {
return m.Source
}
return nil
}
func (m *Document) GetType() Document_Type {
if m != nil {
return m.Type
}
return Document_TYPE_UNSPECIFIED
}
func (m *Document) GetContent() string {
if x, ok := m.GetSource().(*Document_Content); ok {
return x.Content
}
return ""
}
func (m *Document) GetGcsContentUri() string {
if x, ok := m.GetSource().(*Document_GcsContentUri); ok {
return x.GcsContentUri
}
return ""
}
func (m *Document) GetLanguage() string {
if m != nil {
return m.Language
}
return ""
}
// XXX_OneofFuncs is for the internal use of the proto package.
func (*Document) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
return _Document_OneofMarshaler, _Document_OneofUnmarshaler, _Document_OneofSizer, []interface{}{
(*Document_Content)(nil),
(*Document_GcsContentUri)(nil),
}
}
func _Document_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
m := msg.(*Document)
// source
switch x := m.Source.(type) {
case *Document_Content:
b.EncodeVarint(2<<3 | proto.WireBytes)
b.EncodeStringBytes(x.Content)
case *Document_GcsContentUri:
b.EncodeVarint(3<<3 | proto.WireBytes)
b.EncodeStringBytes(x.GcsContentUri)
case nil:
default:
return fmt.Errorf("Document.Source has unexpected type %T", x)
}
return nil
}
func _Document_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
m := msg.(*Document)
switch tag {
case 2: // source.content
if wire != proto.WireBytes {
return true, proto.ErrInternalBadWireType
}
x, err := b.DecodeStringBytes()
m.Source = &Document_Content{x}
return true, err
case 3: // source.gcs_content_uri
if wire != proto.WireBytes {
return true, proto.ErrInternalBadWireType
}
x, err := b.DecodeStringBytes()
m.Source = &Document_GcsContentUri{x}
return true, err
default:
return false, nil
}
}
func _Document_OneofSizer(msg proto.Message) (n int) {
m := msg.(*Document)
// source
switch x := m.Source.(type) {
case *Document_Content:
n += proto.SizeVarint(2<<3 | proto.WireBytes)
n += proto.SizeVarint(uint64(len(x.Content)))
n += len(x.Content)
case *Document_GcsContentUri:
n += proto.SizeVarint(3<<3 | proto.WireBytes)
n += proto.SizeVarint(uint64(len(x.GcsContentUri)))
n += len(x.GcsContentUri)
case nil:
default:
panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
}
return n
}
// Represents a sentence in the input document.
type Sentence struct {
// The sentence text.
Text *TextSpan `protobuf:"bytes,1,opt,name=text" json:"text,omitempty"`
// For calls to [AnalyzeSentiment][] or if
// [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_document_sentiment] is set to
// true, this field will contain the sentiment for the sentence.
Sentiment *Sentiment `protobuf:"bytes,2,opt,name=sentiment" json:"sentiment,omitempty"`
}
func (m *Sentence) Reset() { *m = Sentence{} }
func (m *Sentence) String() string { return proto.CompactTextString(m) }
func (*Sentence) ProtoMessage() {}
func (*Sentence) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{1} }
func (m *Sentence) GetText() *TextSpan {
if m != nil {
return m.Text
}
return nil
}
func (m *Sentence) GetSentiment() *Sentiment {
if m != nil {
return m.Sentiment
}
return nil
}
// 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.
type Entity struct {
// The representative name for the entity.
Name string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
// The entity type.
Type Entity_Type `protobuf:"varint,2,opt,name=type,enum=google.cloud.language.v1beta2.Entity_Type" json:"type,omitempty"`
// Metadata associated with the entity.
//
// Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if
// available. The associated keys are "wikipedia_url" and "mid", respectively.
Metadata map[string]string `protobuf:"bytes,3,rep,name=metadata" json:"metadata,omitempty" protobuf_key:"bytes,1,opt,name=key" protobuf_val:"bytes,2,opt,name=value"`
// 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.
Salience float32 `protobuf:"fixed32,4,opt,name=salience" json:"salience,omitempty"`
// The mentions of this entity in the input document. The API currently
// supports proper noun mentions.
Mentions []*EntityMention `protobuf:"bytes,5,rep,name=mentions" json:"mentions,omitempty"`
// For calls to [AnalyzeEntitySentiment][] or if
// [AnnotateTextRequest.Features.extract_entity_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entity_sentiment] is set to
// true, this field will contain the aggregate sentiment expressed for this
// entity in the provided document.
Sentiment *Sentiment `protobuf:"bytes,6,opt,name=sentiment" json:"sentiment,omitempty"`
}
func (m *Entity) Reset() { *m = Entity{} }
func (m *Entity) String() string { return proto.CompactTextString(m) }
func (*Entity) ProtoMessage() {}
func (*Entity) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{2} }
func (m *Entity) GetName() string {
if m != nil {
return m.Name
}
return ""
}
func (m *Entity) GetType() Entity_Type {
if m != nil {
return m.Type
}
return Entity_UNKNOWN
}
func (m *Entity) GetMetadata() map[string]string {
if m != nil {
return m.Metadata
}
return nil
}
func (m *Entity) GetSalience() float32 {
if m != nil {
return m.Salience
}
return 0
}
func (m *Entity) GetMentions() []*EntityMention {
if m != nil {
return m.Mentions
}
return nil
}
func (m *Entity) GetSentiment() *Sentiment {
if m != nil {
return m.Sentiment
}
return nil
}
// Represents the smallest syntactic building block of the text.
type Token struct {
// The token text.
Text *TextSpan `protobuf:"bytes,1,opt,name=text" json:"text,omitempty"`
// Parts of speech tag for this token.
PartOfSpeech *PartOfSpeech `protobuf:"bytes,2,opt,name=part_of_speech,json=partOfSpeech" json:"part_of_speech,omitempty"`
// Dependency tree parse for this token.
DependencyEdge *DependencyEdge `protobuf:"bytes,3,opt,name=dependency_edge,json=dependencyEdge" json:"dependency_edge,omitempty"`
// [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
Lemma string `protobuf:"bytes,4,opt,name=lemma" json:"lemma,omitempty"`
}
func (m *Token) Reset() { *m = Token{} }
func (m *Token) String() string { return proto.CompactTextString(m) }
func (*Token) ProtoMessage() {}
func (*Token) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{3} }
func (m *Token) GetText() *TextSpan {
if m != nil {
return m.Text
}
return nil
}
func (m *Token) GetPartOfSpeech() *PartOfSpeech {
if m != nil {
return m.PartOfSpeech
}
return nil
}
func (m *Token) GetDependencyEdge() *DependencyEdge {
if m != nil {
return m.DependencyEdge
}
return nil
}
func (m *Token) GetLemma() string {
if m != nil {
return m.Lemma
}
return ""
}
// Represents the feeling associated with the entire text or entities in
// the text.
type Sentiment struct {
// A non-negative number in the [0, +inf) range, which represents
// the absolute magnitude of sentiment regardless of score (positive or
// negative).
Magnitude float32 `protobuf:"fixed32,2,opt,name=magnitude" json:"magnitude,omitempty"`
// Sentiment score between -1.0 (negative sentiment) and 1.0
// (positive sentiment).
Score float32 `protobuf:"fixed32,3,opt,name=score" json:"score,omitempty"`
}
func (m *Sentiment) Reset() { *m = Sentiment{} }
func (m *Sentiment) String() string { return proto.CompactTextString(m) }
func (*Sentiment) ProtoMessage() {}
func (*Sentiment) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{4} }
func (m *Sentiment) GetMagnitude() float32 {
if m != nil {
return m.Magnitude
}
return 0
}
func (m *Sentiment) GetScore() float32 {
if m != nil {
return m.Score
}
return 0
}
// Represents part of speech information for a token.
type PartOfSpeech struct {
// The part of speech tag.
Tag PartOfSpeech_Tag `protobuf:"varint,1,opt,name=tag,enum=google.cloud.language.v1beta2.PartOfSpeech_Tag" json:"tag,omitempty"`
// The grammatical aspect.
Aspect PartOfSpeech_Aspect `protobuf:"varint,2,opt,name=aspect,enum=google.cloud.language.v1beta2.PartOfSpeech_Aspect" json:"aspect,omitempty"`
// The grammatical case.
Case PartOfSpeech_Case `protobuf:"varint,3,opt,name=case,enum=google.cloud.language.v1beta2.PartOfSpeech_Case" json:"case,omitempty"`
// The grammatical form.
Form PartOfSpeech_Form `protobuf:"varint,4,opt,name=form,enum=google.cloud.language.v1beta2.PartOfSpeech_Form" json:"form,omitempty"`
// The grammatical gender.
Gender PartOfSpeech_Gender `protobuf:"varint,5,opt,name=gender,enum=google.cloud.language.v1beta2.PartOfSpeech_Gender" json:"gender,omitempty"`
// The grammatical mood.
Mood PartOfSpeech_Mood `protobuf:"varint,6,opt,name=mood,enum=google.cloud.language.v1beta2.PartOfSpeech_Mood" json:"mood,omitempty"`
// The grammatical number.
Number PartOfSpeech_Number `protobuf:"varint,7,opt,name=number,enum=google.cloud.language.v1beta2.PartOfSpeech_Number" json:"number,omitempty"`
// The grammatical person.
Person PartOfSpeech_Person `protobuf:"varint,8,opt,name=person,enum=google.cloud.language.v1beta2.PartOfSpeech_Person" json:"person,omitempty"`
// The grammatical properness.
Proper PartOfSpeech_Proper `protobuf:"varint,9,opt,name=proper,enum=google.cloud.language.v1beta2.PartOfSpeech_Proper" json:"proper,omitempty"`
// The grammatical reciprocity.
Reciprocity PartOfSpeech_Reciprocity `protobuf:"varint,10,opt,name=reciprocity,enum=google.cloud.language.v1beta2.PartOfSpeech_Reciprocity" json:"reciprocity,omitempty"`
// The grammatical tense.
Tense PartOfSpeech_Tense `protobuf:"varint,11,opt,name=tense,enum=google.cloud.language.v1beta2.PartOfSpeech_Tense" json:"tense,omitempty"`
// The grammatical voice.
Voice PartOfSpeech_Voice `protobuf:"varint,12,opt,name=voice,enum=google.cloud.language.v1beta2.PartOfSpeech_Voice" json:"voice,omitempty"`
}
func (m *PartOfSpeech) Reset() { *m = PartOfSpeech{} }
func (m *PartOfSpeech) String() string { return proto.CompactTextString(m) }
func (*PartOfSpeech) ProtoMessage() {}
func (*PartOfSpeech) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{5} }
func (m *PartOfSpeech) GetTag() PartOfSpeech_Tag {
if m != nil {
return m.Tag
}
return PartOfSpeech_UNKNOWN
}
func (m *PartOfSpeech) GetAspect() PartOfSpeech_Aspect {
if m != nil {
return m.Aspect
}
return PartOfSpeech_ASPECT_UNKNOWN
}
func (m *PartOfSpeech) GetCase() PartOfSpeech_Case {
if m != nil {
return m.Case
}
return PartOfSpeech_CASE_UNKNOWN
}
func (m *PartOfSpeech) GetForm() PartOfSpeech_Form {
if m != nil {
return m.Form
}
return PartOfSpeech_FORM_UNKNOWN
}
func (m *PartOfSpeech) GetGender() PartOfSpeech_Gender {
if m != nil {
return m.Gender
}
return PartOfSpeech_GENDER_UNKNOWN
}
func (m *PartOfSpeech) GetMood() PartOfSpeech_Mood {
if m != nil {
return m.Mood
}
return PartOfSpeech_MOOD_UNKNOWN
}
func (m *PartOfSpeech) GetNumber() PartOfSpeech_Number {
if m != nil {
return m.Number
}
return PartOfSpeech_NUMBER_UNKNOWN
}
func (m *PartOfSpeech) GetPerson() PartOfSpeech_Person {
if m != nil {
return m.Person
}
return PartOfSpeech_PERSON_UNKNOWN
}
func (m *PartOfSpeech) GetProper() PartOfSpeech_Proper {
if m != nil {
return m.Proper
}
return PartOfSpeech_PROPER_UNKNOWN
}
func (m *PartOfSpeech) GetReciprocity() PartOfSpeech_Reciprocity {
if m != nil {
return m.Reciprocity
}
return PartOfSpeech_RECIPROCITY_UNKNOWN
}
func (m *PartOfSpeech) GetTense() PartOfSpeech_Tense {
if m != nil {
return m.Tense
}
return PartOfSpeech_TENSE_UNKNOWN
}
func (m *PartOfSpeech) GetVoice() PartOfSpeech_Voice {
if m != nil {
return m.Voice
}
return PartOfSpeech_VOICE_UNKNOWN
}
// Represents dependency parse tree information for a token.
type DependencyEdge struct {
// 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.
HeadTokenIndex int32 `protobuf:"varint,1,opt,name=head_token_index,json=headTokenIndex" json:"head_token_index,omitempty"`
// The parse label for the token.
Label DependencyEdge_Label `protobuf:"varint,2,opt,name=label,enum=google.cloud.language.v1beta2.DependencyEdge_Label" json:"label,omitempty"`
}
func (m *DependencyEdge) Reset() { *m = DependencyEdge{} }
func (m *DependencyEdge) String() string { return proto.CompactTextString(m) }
func (*DependencyEdge) ProtoMessage() {}
func (*DependencyEdge) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{6} }
func (m *DependencyEdge) GetHeadTokenIndex() int32 {
if m != nil {
return m.HeadTokenIndex
}
return 0
}
func (m *DependencyEdge) GetLabel() DependencyEdge_Label {
if m != nil {
return m.Label
}
return DependencyEdge_UNKNOWN
}
// Represents a mention for an entity in the text. Currently, proper noun
// mentions are supported.
type EntityMention struct {
// The mention text.
Text *TextSpan `protobuf:"bytes,1,opt,name=text" json:"text,omitempty"`
// The type of the entity mention.
Type EntityMention_Type `protobuf:"varint,2,opt,name=type,enum=google.cloud.language.v1beta2.EntityMention_Type" json:"type,omitempty"`
// For calls to [AnalyzeEntitySentiment][] or if
// [AnnotateTextRequest.Features.extract_entity_sentiment][google.cloud.language.v1beta2.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.
Sentiment *Sentiment `protobuf:"bytes,3,opt,name=sentiment" json:"sentiment,omitempty"`
}
func (m *EntityMention) Reset() { *m = EntityMention{} }
func (m *EntityMention) String() string { return proto.CompactTextString(m) }
func (*EntityMention) ProtoMessage() {}
func (*EntityMention) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{7} }
func (m *EntityMention) GetText() *TextSpan {
if m != nil {
return m.Text
}
return nil
}
func (m *EntityMention) GetType() EntityMention_Type {
if m != nil {
return m.Type
}
return EntityMention_TYPE_UNKNOWN
}
func (m *EntityMention) GetSentiment() *Sentiment {
if m != nil {
return m.Sentiment
}
return nil
}
// Represents an output piece of text.
type TextSpan struct {
// The content of the output text.
Content string `protobuf:"bytes,1,opt,name=content" json:"content,omitempty"`
// The API calculates the beginning offset of the content in the original
// document according to the [EncodingType][google.cloud.language.v1beta2.EncodingType] specified in the API request.
BeginOffset int32 `protobuf:"varint,2,opt,name=begin_offset,json=beginOffset" json:"begin_offset,omitempty"`
}
func (m *TextSpan) Reset() { *m = TextSpan{} }
func (m *TextSpan) String() string { return proto.CompactTextString(m) }
func (*TextSpan) ProtoMessage() {}
func (*TextSpan) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{8} }
func (m *TextSpan) GetContent() string {
if m != nil {
return m.Content
}
return ""
}
func (m *TextSpan) GetBeginOffset() int32 {
if m != nil {
return m.BeginOffset
}
return 0
}
// Represents a category returned from the text classifier.
type ClassificationCategory struct {
// The name of the category representing the document.
Name string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
// The classifier's confidence of the category. Number represents how certain
// the classifier is that this category represents the given text.
Confidence float32 `protobuf:"fixed32,2,opt,name=confidence" json:"confidence,omitempty"`
}
func (m *ClassificationCategory) Reset() { *m = ClassificationCategory{} }
func (m *ClassificationCategory) String() string { return proto.CompactTextString(m) }
func (*ClassificationCategory) ProtoMessage() {}
func (*ClassificationCategory) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{9} }
func (m *ClassificationCategory) GetName() string {
if m != nil {
return m.Name
}
return ""
}
func (m *ClassificationCategory) GetConfidence() float32 {
if m != nil {
return m.Confidence
}
return 0
}
// The sentiment analysis request message.
type AnalyzeSentimentRequest struct {
// Input document.
Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
// The encoding type used by the API to calculate sentence offsets for the
// sentence sentiment.
EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1beta2.EncodingType" json:"encoding_type,omitempty"`
}
func (m *AnalyzeSentimentRequest) Reset() { *m = AnalyzeSentimentRequest{} }
func (m *AnalyzeSentimentRequest) String() string { return proto.CompactTextString(m) }
func (*AnalyzeSentimentRequest) ProtoMessage() {}
func (*AnalyzeSentimentRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{10} }
func (m *AnalyzeSentimentRequest) GetDocument() *Document {
if m != nil {
return m.Document
}
return nil
}
func (m *AnalyzeSentimentRequest) GetEncodingType() EncodingType {
if m != nil {
return m.EncodingType
}
return EncodingType_NONE
}
// The sentiment analysis response message.
type AnalyzeSentimentResponse struct {
// The overall sentiment of the input document.
DocumentSentiment *Sentiment `protobuf:"bytes,1,opt,name=document_sentiment,json=documentSentiment" json:"document_sentiment,omitempty"`
// 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 [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
Language string `protobuf:"bytes,2,opt,name=language" json:"language,omitempty"`
// The sentiment for all the sentences in the document.
Sentences []*Sentence `protobuf:"bytes,3,rep,name=sentences" json:"sentences,omitempty"`
}
func (m *AnalyzeSentimentResponse) Reset() { *m = AnalyzeSentimentResponse{} }
func (m *AnalyzeSentimentResponse) String() string { return proto.CompactTextString(m) }
func (*AnalyzeSentimentResponse) ProtoMessage() {}
func (*AnalyzeSentimentResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{11} }
func (m *AnalyzeSentimentResponse) GetDocumentSentiment() *Sentiment {
if m != nil {
return m.DocumentSentiment
}
return nil
}
func (m *AnalyzeSentimentResponse) GetLanguage() string {
if m != nil {
return m.Language
}
return ""
}
func (m *AnalyzeSentimentResponse) GetSentences() []*Sentence {
if m != nil {
return m.Sentences
}
return nil
}
// The entity-level sentiment analysis request message.
type AnalyzeEntitySentimentRequest struct {
// Input document.
Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
// The encoding type used by the API to calculate offsets.
EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1beta2.EncodingType" json:"encoding_type,omitempty"`
}
func (m *AnalyzeEntitySentimentRequest) Reset() { *m = AnalyzeEntitySentimentRequest{} }
func (m *AnalyzeEntitySentimentRequest) String() string { return proto.CompactTextString(m) }
func (*AnalyzeEntitySentimentRequest) ProtoMessage() {}
func (*AnalyzeEntitySentimentRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{12} }
func (m *AnalyzeEntitySentimentRequest) GetDocument() *Document {
if m != nil {
return m.Document
}
return nil
}
func (m *AnalyzeEntitySentimentRequest) GetEncodingType() EncodingType {
if m != nil {
return m.EncodingType
}
return EncodingType_NONE
}
// The entity-level sentiment analysis response message.
type AnalyzeEntitySentimentResponse struct {
// The recognized entities in the input document with associated sentiments.
Entities []*Entity `protobuf:"bytes,1,rep,name=entities" json:"entities,omitempty"`
// 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 [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
Language string `protobuf:"bytes,2,opt,name=language" json:"language,omitempty"`
}
func (m *AnalyzeEntitySentimentResponse) Reset() { *m = AnalyzeEntitySentimentResponse{} }
func (m *AnalyzeEntitySentimentResponse) String() string { return proto.CompactTextString(m) }
func (*AnalyzeEntitySentimentResponse) ProtoMessage() {}
func (*AnalyzeEntitySentimentResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{13} }
func (m *AnalyzeEntitySentimentResponse) GetEntities() []*Entity {
if m != nil {
return m.Entities
}
return nil
}
func (m *AnalyzeEntitySentimentResponse) GetLanguage() string {
if m != nil {
return m.Language
}
return ""
}
// The entity analysis request message.
type AnalyzeEntitiesRequest struct {
// Input document.
Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
// The encoding type used by the API to calculate offsets.
EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1beta2.EncodingType" json:"encoding_type,omitempty"`
}
func (m *AnalyzeEntitiesRequest) Reset() { *m = AnalyzeEntitiesRequest{} }
func (m *AnalyzeEntitiesRequest) String() string { return proto.CompactTextString(m) }
func (*AnalyzeEntitiesRequest) ProtoMessage() {}
func (*AnalyzeEntitiesRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{14} }
func (m *AnalyzeEntitiesRequest) GetDocument() *Document {
if m != nil {
return m.Document
}
return nil
}
func (m *AnalyzeEntitiesRequest) GetEncodingType() EncodingType {
if m != nil {
return m.EncodingType
}
return EncodingType_NONE
}
// The entity analysis response message.
type AnalyzeEntitiesResponse struct {
// The recognized entities in the input document.
Entities []*Entity `protobuf:"bytes,1,rep,name=entities" json:"entities,omitempty"`
// 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 [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
Language string `protobuf:"bytes,2,opt,name=language" json:"language,omitempty"`
}
func (m *AnalyzeEntitiesResponse) Reset() { *m = AnalyzeEntitiesResponse{} }
func (m *AnalyzeEntitiesResponse) String() string { return proto.CompactTextString(m) }
func (*AnalyzeEntitiesResponse) ProtoMessage() {}
func (*AnalyzeEntitiesResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{15} }
func (m *AnalyzeEntitiesResponse) GetEntities() []*Entity {
if m != nil {
return m.Entities
}
return nil
}
func (m *AnalyzeEntitiesResponse) GetLanguage() string {
if m != nil {
return m.Language
}
return ""
}
// The syntax analysis request message.
type AnalyzeSyntaxRequest struct {
// Input document.
Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
// The encoding type used by the API to calculate offsets.
EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1beta2.EncodingType" json:"encoding_type,omitempty"`
}
func (m *AnalyzeSyntaxRequest) Reset() { *m = AnalyzeSyntaxRequest{} }
func (m *AnalyzeSyntaxRequest) String() string { return proto.CompactTextString(m) }
func (*AnalyzeSyntaxRequest) ProtoMessage() {}
func (*AnalyzeSyntaxRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{16} }
func (m *AnalyzeSyntaxRequest) GetDocument() *Document {
if m != nil {
return m.Document
}
return nil
}
func (m *AnalyzeSyntaxRequest) GetEncodingType() EncodingType {
if m != nil {
return m.EncodingType
}
return EncodingType_NONE
}
// The syntax analysis response message.
type AnalyzeSyntaxResponse struct {
// Sentences in the input document.
Sentences []*Sentence `protobuf:"bytes,1,rep,name=sentences" json:"sentences,omitempty"`
// Tokens, along with their syntactic information, in the input document.
Tokens []*Token `protobuf:"bytes,2,rep,name=tokens" json:"tokens,omitempty"`
// 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 [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
Language string `protobuf:"bytes,3,opt,name=language" json:"language,omitempty"`
}
func (m *AnalyzeSyntaxResponse) Reset() { *m = AnalyzeSyntaxResponse{} }
func (m *AnalyzeSyntaxResponse) String() string { return proto.CompactTextString(m) }
func (*AnalyzeSyntaxResponse) ProtoMessage() {}
func (*AnalyzeSyntaxResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{17} }
func (m *AnalyzeSyntaxResponse) GetSentences() []*Sentence {
if m != nil {
return m.Sentences
}
return nil
}
func (m *AnalyzeSyntaxResponse) GetTokens() []*Token {
if m != nil {
return m.Tokens
}
return nil
}
func (m *AnalyzeSyntaxResponse) GetLanguage() string {
if m != nil {
return m.Language
}
return ""
}
// The document classification request message.
type ClassifyTextRequest struct {
// Input document.
Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
}
func (m *ClassifyTextRequest) Reset() { *m = ClassifyTextRequest{} }
func (m *ClassifyTextRequest) String() string { return proto.CompactTextString(m) }
func (*ClassifyTextRequest) ProtoMessage() {}
func (*ClassifyTextRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{18} }
func (m *ClassifyTextRequest) GetDocument() *Document {
if m != nil {
return m.Document
}
return nil
}
// The document classification response message.
type ClassifyTextResponse struct {
// Categories representing the input document.
Categories []*ClassificationCategory `protobuf:"bytes,1,rep,name=categories" json:"categories,omitempty"`
}
func (m *ClassifyTextResponse) Reset() { *m = ClassifyTextResponse{} }
func (m *ClassifyTextResponse) String() string { return proto.CompactTextString(m) }
func (*ClassifyTextResponse) ProtoMessage() {}
func (*ClassifyTextResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{19} }
func (m *ClassifyTextResponse) GetCategories() []*ClassificationCategory {
if m != nil {
return m.Categories
}
return nil
}
// The request message for the text annotation API, which can perform multiple
// analysis types (sentiment, entities, and syntax) in one call.
type AnnotateTextRequest struct {
// Input document.
Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
// The enabled features.
Features *AnnotateTextRequest_Features `protobuf:"bytes,2,opt,name=features" json:"features,omitempty"`
// The encoding type used by the API to calculate offsets.
EncodingType EncodingType `protobuf:"varint,3,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1beta2.EncodingType" json:"encoding_type,omitempty"`
}
func (m *AnnotateTextRequest) Reset() { *m = AnnotateTextRequest{} }
func (m *AnnotateTextRequest) String() string { return proto.CompactTextString(m) }
func (*AnnotateTextRequest) ProtoMessage() {}
func (*AnnotateTextRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{20} }
func (m *AnnotateTextRequest) GetDocument() *Document {
if m != nil {
return m.Document
}
return nil
}
func (m *AnnotateTextRequest) GetFeatures() *AnnotateTextRequest_Features {
if m != nil {
return m.Features
}
return nil
}
func (m *AnnotateTextRequest) GetEncodingType() EncodingType {
if m != nil {
return m.EncodingType
}
return EncodingType_NONE
}
// All available features for sentiment, syntax, and semantic analysis.
// Setting each one to true will enable that specific analysis for the input.
type AnnotateTextRequest_Features struct {
// Extract syntax information.
ExtractSyntax bool `protobuf:"varint,1,opt,name=extract_syntax,json=extractSyntax" json:"extract_syntax,omitempty"`
// Extract entities.
ExtractEntities bool `protobuf:"varint,2,opt,name=extract_entities,json=extractEntities" json:"extract_entities,omitempty"`
// Extract document-level sentiment.
ExtractDocumentSentiment bool `protobuf:"varint,3,opt,name=extract_document_sentiment,json=extractDocumentSentiment" json:"extract_document_sentiment,omitempty"`
// Extract entities and their associated sentiment.
ExtractEntitySentiment bool `protobuf:"varint,4,opt,name=extract_entity_sentiment,json=extractEntitySentiment" json:"extract_entity_sentiment,omitempty"`
// Classify the full document into categories.
ClassifyText bool `protobuf:"varint,6,opt,name=classify_text,json=classifyText" json:"classify_text,omitempty"`
}
func (m *AnnotateTextRequest_Features) Reset() { *m = AnnotateTextRequest_Features{} }
func (m *AnnotateTextRequest_Features) String() string { return proto.CompactTextString(m) }
func (*AnnotateTextRequest_Features) ProtoMessage() {}
func (*AnnotateTextRequest_Features) Descriptor() ([]byte, []int) {
return fileDescriptor0, []int{20, 0}
}
func (m *AnnotateTextRequest_Features) GetExtractSyntax() bool {
if m != nil {
return m.ExtractSyntax
}
return false
}
func (m *AnnotateTextRequest_Features) GetExtractEntities() bool {
if m != nil {
return m.ExtractEntities
}
return false
}
func (m *AnnotateTextRequest_Features) GetExtractDocumentSentiment() bool {
if m != nil {
return m.ExtractDocumentSentiment
}
return false
}
func (m *AnnotateTextRequest_Features) GetExtractEntitySentiment() bool {
if m != nil {
return m.ExtractEntitySentiment
}
return false
}
func (m *AnnotateTextRequest_Features) GetClassifyText() bool {
if m != nil {
return m.ClassifyText
}
return false
}
// The text annotations response message.
type AnnotateTextResponse struct {
// Sentences in the input document. Populated if the user enables
// [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_syntax].
Sentences []*Sentence `protobuf:"bytes,1,rep,name=sentences" json:"sentences,omitempty"`
// Tokens, along with their syntactic information, in the input document.
// Populated if the user enables
// [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_syntax].
Tokens []*Token `protobuf:"bytes,2,rep,name=tokens" json:"tokens,omitempty"`
// Entities, along with their semantic information, in the input document.
// Populated if the user enables
// [AnnotateTextRequest.Features.extract_entities][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entities].
Entities []*Entity `protobuf:"bytes,3,rep,name=entities" json:"entities,omitempty"`
// The overall sentiment for the document. Populated if the user enables
// [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_document_sentiment].
DocumentSentiment *Sentiment `protobuf:"bytes,4,opt,name=document_sentiment,json=documentSentiment" json:"document_sentiment,omitempty"`
// 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 [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
Language string `protobuf:"bytes,5,opt,name=language" json:"language,omitempty"`
// Categories identified in the input document.
Categories []*ClassificationCategory `protobuf:"bytes,6,rep,name=categories" json:"categories,omitempty"`
}
func (m *AnnotateTextResponse) Reset() { *m = AnnotateTextResponse{} }
func (m *AnnotateTextResponse) String() string { return proto.CompactTextString(m) }
func (*AnnotateTextResponse) ProtoMessage() {}
func (*AnnotateTextResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{21} }
func (m *AnnotateTextResponse) GetSentences() []*Sentence {
if m != nil {
return m.Sentences
}
return nil
}
func (m *AnnotateTextResponse) GetTokens() []*Token {
if m != nil {
return m.Tokens
}
return nil
}
func (m *AnnotateTextResponse) GetEntities() []*Entity {
if m != nil {
return m.Entities
}
return nil
}
func (m *AnnotateTextResponse) GetDocumentSentiment() *Sentiment {
if m != nil {
return m.DocumentSentiment
}
return nil
}
func (m *AnnotateTextResponse) GetLanguage() string {
if m != nil {
return m.Language
}
return ""
}
func (m *AnnotateTextResponse) GetCategories() []*ClassificationCategory {
if m != nil {
return m.Categories
}
return nil
}
func init() {
proto.RegisterType((*Document)(nil), "google.cloud.language.v1beta2.Document")
proto.RegisterType((*Sentence)(nil), "google.cloud.language.v1beta2.Sentence")
proto.RegisterType((*Entity)(nil), "google.cloud.language.v1beta2.Entity")
proto.RegisterType((*Token)(nil), "google.cloud.language.v1beta2.Token")
proto.RegisterType((*Sentiment)(nil), "google.cloud.language.v1beta2.Sentiment")
proto.RegisterType((*PartOfSpeech)(nil), "google.cloud.language.v1beta2.PartOfSpeech")
proto.RegisterType((*DependencyEdge)(nil), "google.cloud.language.v1beta2.DependencyEdge")
proto.RegisterType((*EntityMention)(nil), "google.cloud.language.v1beta2.EntityMention")
proto.RegisterType((*TextSpan)(nil), "google.cloud.language.v1beta2.TextSpan")
proto.RegisterType((*ClassificationCategory)(nil), "google.cloud.language.v1beta2.ClassificationCategory")
proto.RegisterType((*AnalyzeSentimentRequest)(nil), "google.cloud.language.v1beta2.AnalyzeSentimentRequest")
proto.RegisterType((*AnalyzeSentimentResponse)(nil), "google.cloud.language.v1beta2.AnalyzeSentimentResponse")
proto.RegisterType((*AnalyzeEntitySentimentRequest)(nil), "google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest")
proto.RegisterType((*AnalyzeEntitySentimentResponse)(nil), "google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse")
proto.RegisterType((*AnalyzeEntitiesRequest)(nil), "google.cloud.language.v1beta2.AnalyzeEntitiesRequest")
proto.RegisterType((*AnalyzeEntitiesResponse)(nil), "google.cloud.language.v1beta2.AnalyzeEntitiesResponse")
proto.RegisterType((*AnalyzeSyntaxRequest)(nil), "google.cloud.language.v1beta2.AnalyzeSyntaxRequest")
proto.RegisterType((*AnalyzeSyntaxResponse)(nil), "google.cloud.language.v1beta2.AnalyzeSyntaxResponse")
proto.RegisterType((*ClassifyTextRequest)(nil), "google.cloud.language.v1beta2.ClassifyTextRequest")
proto.RegisterType((*ClassifyTextResponse)(nil), "google.cloud.language.v1beta2.ClassifyTextResponse")
proto.RegisterType((*AnnotateTextRequest)(nil), "google.cloud.language.v1beta2.AnnotateTextRequest")
proto.RegisterType((*AnnotateTextRequest_Features)(nil), "google.cloud.language.v1beta2.AnnotateTextRequest.Features")
proto.RegisterType((*AnnotateTextResponse)(nil), "google.cloud.language.v1beta2.AnnotateTextResponse")
proto.RegisterEnum("google.cloud.language.v1beta2.EncodingType", EncodingType_name, EncodingType_value)
proto.RegisterEnum("google.cloud.language.v1beta2.Document_Type", Document_Type_name, Document_Type_value)
proto.RegisterEnum("google.cloud.language.v1beta2.Entity_Type", Entity_Type_name, Entity_Type_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Tag", PartOfSpeech_Tag_name, PartOfSpeech_Tag_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Aspect", PartOfSpeech_Aspect_name, PartOfSpeech_Aspect_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Case", PartOfSpeech_Case_name, PartOfSpeech_Case_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Form", PartOfSpeech_Form_name, PartOfSpeech_Form_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Gender", PartOfSpeech_Gender_name, PartOfSpeech_Gender_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Mood", PartOfSpeech_Mood_name, PartOfSpeech_Mood_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Number", PartOfSpeech_Number_name, PartOfSpeech_Number_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Person", PartOfSpeech_Person_name, PartOfSpeech_Person_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Proper", PartOfSpeech_Proper_name, PartOfSpeech_Proper_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Reciprocity", PartOfSpeech_Reciprocity_name, PartOfSpeech_Reciprocity_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Tense", PartOfSpeech_Tense_name, PartOfSpeech_Tense_value)
proto.RegisterEnum("google.cloud.language.v1beta2.PartOfSpeech_Voice", PartOfSpeech_Voice_name, PartOfSpeech_Voice_value)
proto.RegisterEnum("google.cloud.language.v1beta2.DependencyEdge_Label", DependencyEdge_Label_name, DependencyEdge_Label_value)
proto.RegisterEnum("google.cloud.language.v1beta2.EntityMention_Type", EntityMention_Type_name, EntityMention_Type_value)
}
// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConn
// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion4
// Client API for LanguageService service
type LanguageServiceClient interface {
// Analyzes the sentiment of the provided text.
AnalyzeSentiment(ctx context.Context, in *AnalyzeSentimentRequest, opts ...grpc.CallOption) (*AnalyzeSentimentResponse, error)
// Finds named entities (currently proper names and common nouns) in the text
// along with entity types, salience, mentions for each entity, and
// other properties.
AnalyzeEntities(ctx context.Context, in *AnalyzeEntitiesRequest, opts ...grpc.CallOption) (*AnalyzeEntitiesResponse, error)
// Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes
// sentiment associated with each entity and its mentions.
AnalyzeEntitySentiment(ctx context.Context, in *AnalyzeEntitySentimentRequest, opts ...grpc.CallOption) (*AnalyzeEntitySentimentResponse, error)
// Analyzes the syntax of the text and provides sentence boundaries and
// tokenization along with part of speech tags, dependency trees, and other
// properties.
AnalyzeSyntax(ctx context.Context, in *AnalyzeSyntaxRequest, opts ...grpc.CallOption) (*AnalyzeSyntaxResponse, error)
// Classifies a document into categories.
ClassifyText(ctx context.Context, in *ClassifyTextRequest, opts ...grpc.CallOption) (*ClassifyTextResponse, error)
// A convenience method that provides all syntax, sentiment, entity, and
// classification features in one call.
AnnotateText(ctx context.Context, in *AnnotateTextRequest, opts ...grpc.CallOption) (*AnnotateTextResponse, error)
}
type languageServiceClient struct {
cc *grpc.ClientConn
}
func NewLanguageServiceClient(cc *grpc.ClientConn) LanguageServiceClient {
return &languageServiceClient{cc}
}
func (c *languageServiceClient) AnalyzeSentiment(ctx context.Context, in *AnalyzeSentimentRequest, opts ...grpc.CallOption) (*AnalyzeSentimentResponse, error) {
out := new(AnalyzeSentimentResponse)
err := grpc.Invoke(ctx, "/google.cloud.language.v1beta2.LanguageService/AnalyzeSentiment", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *languageServiceClient) AnalyzeEntities(ctx context.Context, in *AnalyzeEntitiesRequest, opts ...grpc.CallOption) (*AnalyzeEntitiesResponse, error) {
out := new(AnalyzeEntitiesResponse)
err := grpc.Invoke(ctx, "/google.cloud.language.v1beta2.LanguageService/AnalyzeEntities", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *languageServiceClient) AnalyzeEntitySentiment(ctx context.Context, in *AnalyzeEntitySentimentRequest, opts ...grpc.CallOption) (*AnalyzeEntitySentimentResponse, error) {
out := new(AnalyzeEntitySentimentResponse)
err := grpc.Invoke(ctx, "/google.cloud.language.v1beta2.LanguageService/AnalyzeEntitySentiment", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *languageServiceClient) AnalyzeSyntax(ctx context.Context, in *AnalyzeSyntaxRequest, opts ...grpc.CallOption) (*AnalyzeSyntaxResponse, error) {
out := new(AnalyzeSyntaxResponse)
err := grpc.Invoke(ctx, "/google.cloud.language.v1beta2.LanguageService/AnalyzeSyntax", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *languageServiceClient) ClassifyText(ctx context.Context, in *ClassifyTextRequest, opts ...grpc.CallOption) (*ClassifyTextResponse, error) {
out := new(ClassifyTextResponse)
err := grpc.Invoke(ctx, "/google.cloud.language.v1beta2.LanguageService/ClassifyText", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *languageServiceClient) AnnotateText(ctx context.Context, in *AnnotateTextRequest, opts ...grpc.CallOption) (*AnnotateTextResponse, error) {
out := new(AnnotateTextResponse)
err := grpc.Invoke(ctx, "/google.cloud.language.v1beta2.LanguageService/AnnotateText", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// Server API for LanguageService service
type LanguageServiceServer interface {
// Analyzes the sentiment of the provided text.
AnalyzeSentiment(context.Context, *AnalyzeSentimentRequest) (*AnalyzeSentimentResponse, error)
// Finds named entities (currently proper names and common nouns) in the text
// along with entity types, salience, mentions for each entity, and
// other properties.
AnalyzeEntities(context.Context, *AnalyzeEntitiesRequest) (*AnalyzeEntitiesResponse, error)
// Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes
// sentiment associated with each entity and its mentions.
AnalyzeEntitySentiment(context.Context, *AnalyzeEntitySentimentRequest) (*AnalyzeEntitySentimentResponse, error)
// Analyzes the syntax of the text and provides sentence boundaries and
// tokenization along with part of speech tags, dependency trees, and other
// properties.
AnalyzeSyntax(context.Context, *AnalyzeSyntaxRequest) (*AnalyzeSyntaxResponse, error)
// Classifies a document into categories.
ClassifyText(context.Context, *ClassifyTextRequest) (*ClassifyTextResponse, error)
// A convenience method that provides all syntax, sentiment, entity, and
// classification features in one call.
AnnotateText(context.Context, *AnnotateTextRequest) (*AnnotateTextResponse, error)
}
func RegisterLanguageServiceServer(s *grpc.Server, srv LanguageServiceServer) {
s.RegisterService(&_LanguageService_serviceDesc, srv)
}
func _LanguageService_AnalyzeSentiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(AnalyzeSentimentRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LanguageServiceServer).AnalyzeSentiment(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.language.v1beta2.LanguageService/AnalyzeSentiment",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LanguageServiceServer).AnalyzeSentiment(ctx, req.(*AnalyzeSentimentRequest))
}
return interceptor(ctx, in, info, handler)
}
func _LanguageService_AnalyzeEntities_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(AnalyzeEntitiesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LanguageServiceServer).AnalyzeEntities(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.language.v1beta2.LanguageService/AnalyzeEntities",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LanguageServiceServer).AnalyzeEntities(ctx, req.(*AnalyzeEntitiesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _LanguageService_AnalyzeEntitySentiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(AnalyzeEntitySentimentRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LanguageServiceServer).AnalyzeEntitySentiment(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.language.v1beta2.LanguageService/AnalyzeEntitySentiment",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LanguageServiceServer).AnalyzeEntitySentiment(ctx, req.(*AnalyzeEntitySentimentRequest))
}
return interceptor(ctx, in, info, handler)
}
func _LanguageService_AnalyzeSyntax_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(AnalyzeSyntaxRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LanguageServiceServer).AnalyzeSyntax(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.language.v1beta2.LanguageService/AnalyzeSyntax",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LanguageServiceServer).AnalyzeSyntax(ctx, req.(*AnalyzeSyntaxRequest))
}
return interceptor(ctx, in, info, handler)
}
func _LanguageService_ClassifyText_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ClassifyTextRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LanguageServiceServer).ClassifyText(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.language.v1beta2.LanguageService/ClassifyText",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LanguageServiceServer).ClassifyText(ctx, req.(*ClassifyTextRequest))
}
return interceptor(ctx, in, info, handler)
}
func _LanguageService_AnnotateText_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(AnnotateTextRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LanguageServiceServer).AnnotateText(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.language.v1beta2.LanguageService/AnnotateText",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LanguageServiceServer).AnnotateText(ctx, req.(*AnnotateTextRequest))
}
return interceptor(ctx, in, info, handler)
}
var _LanguageService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.language.v1beta2.LanguageService",
HandlerType: (*LanguageServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "AnalyzeSentiment",
Handler: _LanguageService_AnalyzeSentiment_Handler,
},
{
MethodName: "AnalyzeEntities",
Handler: _LanguageService_AnalyzeEntities_Handler,
},
{
MethodName: "AnalyzeEntitySentiment",
Handler: _LanguageService_AnalyzeEntitySentiment_Handler,
},
{
MethodName: "AnalyzeSyntax",
Handler: _LanguageService_AnalyzeSyntax_Handler,
},
{
MethodName: "ClassifyText",
Handler: _LanguageService_ClassifyText_Handler,
},
{
MethodName: "AnnotateText",
Handler: _LanguageService_AnnotateText_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/language/v1beta2/language_service.proto",
}
func init() {
proto.RegisterFile("google/cloud/language/v1beta2/language_service.proto", fileDescriptor0)
}
var fileDescriptor0 = []byte{
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