Package language

google/cloud/language/v1/language_service.proto

Document
Sentence
Entity
Token
Sentiment
PartOfSpeech
DependencyEdge
EntityMention
TextSpan
AnalyzeSentimentRequest
AnalyzeSentimentResponse
AnalyzeEntitiesRequest
AnalyzeEntitiesResponse
AnalyzeSyntaxRequest
AnalyzeSyntaxResponse
AnnotateTextRequest
AnnotateTextResponse

Variables

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",
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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,
}

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 RegisterLanguageServiceServer ¶

func RegisterLanguageServiceServer(s *grpc.Server, srv LanguageServiceServer)

type AnalyzeEntitiesRequest ¶

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.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (*AnalyzeEntitiesRequest) Descriptor ¶

func (*AnalyzeEntitiesRequest) Descriptor() ([]byte, []int)

func (*AnalyzeEntitiesRequest) GetDocument ¶

func (m *AnalyzeEntitiesRequest) GetDocument() *Document

func (*AnalyzeEntitiesRequest) GetEncodingType ¶

func (m *AnalyzeEntitiesRequest) GetEncodingType() EncodingType

func (*AnalyzeEntitiesRequest) ProtoMessage ¶

func (*AnalyzeEntitiesRequest) ProtoMessage()

func (*AnalyzeEntitiesRequest) Reset ¶

func (m *AnalyzeEntitiesRequest) Reset()

func (*AnalyzeEntitiesRequest) String ¶

func (m *AnalyzeEntitiesRequest) String() string

type AnalyzeEntitiesResponse ¶

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.v1.Document.language] field for more details.
    Language string `protobuf:"bytes,2,opt,name=language" json:"language,omitempty"`
}

func (*AnalyzeEntitiesResponse) Descriptor ¶

func (*AnalyzeEntitiesResponse) Descriptor() ([]byte, []int)

func (*AnalyzeEntitiesResponse) GetEntities ¶

func (m *AnalyzeEntitiesResponse) GetEntities() []*Entity

func (*AnalyzeEntitiesResponse) GetLanguage ¶

func (m *AnalyzeEntitiesResponse) GetLanguage() string

func (*AnalyzeEntitiesResponse) ProtoMessage ¶

func (*AnalyzeEntitiesResponse) ProtoMessage()

func (*AnalyzeEntitiesResponse) Reset ¶

func (m *AnalyzeEntitiesResponse) Reset()

func (*AnalyzeEntitiesResponse) String ¶

func (m *AnalyzeEntitiesResponse) String() string

type AnalyzeSentimentRequest ¶

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.
    EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (*AnalyzeSentimentRequest) Descriptor ¶

func (*AnalyzeSentimentRequest) Descriptor() ([]byte, []int)

func (*AnalyzeSentimentRequest) GetDocument ¶

func (m *AnalyzeSentimentRequest) GetDocument() *Document

func (*AnalyzeSentimentRequest) GetEncodingType ¶

func (m *AnalyzeSentimentRequest) GetEncodingType() EncodingType

func (*AnalyzeSentimentRequest) ProtoMessage ¶

func (*AnalyzeSentimentRequest) ProtoMessage()

func (*AnalyzeSentimentRequest) Reset ¶

func (m *AnalyzeSentimentRequest) Reset()

func (*AnalyzeSentimentRequest) String ¶

func (m *AnalyzeSentimentRequest) String() string

type AnalyzeSentimentResponse ¶

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.v1.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 (*AnalyzeSentimentResponse) Descriptor ¶

func (*AnalyzeSentimentResponse) Descriptor() ([]byte, []int)

func (*AnalyzeSentimentResponse) GetDocumentSentiment ¶

func (m *AnalyzeSentimentResponse) GetDocumentSentiment() *Sentiment

func (*AnalyzeSentimentResponse) GetLanguage ¶

func (m *AnalyzeSentimentResponse) GetLanguage() string

func (*AnalyzeSentimentResponse) GetSentences ¶

func (m *AnalyzeSentimentResponse) GetSentences() []*Sentence

func (*AnalyzeSentimentResponse) ProtoMessage ¶

func (*AnalyzeSentimentResponse) ProtoMessage()

func (*AnalyzeSentimentResponse) Reset ¶

func (m *AnalyzeSentimentResponse) Reset()

func (*AnalyzeSentimentResponse) String ¶

func (m *AnalyzeSentimentResponse) String() string

type AnalyzeSyntaxRequest ¶

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.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (*AnalyzeSyntaxRequest) Descriptor ¶

func (*AnalyzeSyntaxRequest) Descriptor() ([]byte, []int)

func (*AnalyzeSyntaxRequest) GetDocument ¶

func (m *AnalyzeSyntaxRequest) GetDocument() *Document

func (*AnalyzeSyntaxRequest) GetEncodingType ¶

func (m *AnalyzeSyntaxRequest) GetEncodingType() EncodingType

func (*AnalyzeSyntaxRequest) ProtoMessage ¶

func (*AnalyzeSyntaxRequest) ProtoMessage()

func (*AnalyzeSyntaxRequest) Reset ¶

func (m *AnalyzeSyntaxRequest) Reset()

func (*AnalyzeSyntaxRequest) String ¶

func (m *AnalyzeSyntaxRequest) String() string

type AnalyzeSyntaxResponse ¶

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.v1.Document.language] field for more details.
    Language string `protobuf:"bytes,3,opt,name=language" json:"language,omitempty"`
}

func (*AnalyzeSyntaxResponse) Descriptor ¶

func (*AnalyzeSyntaxResponse) Descriptor() ([]byte, []int)

func (*AnalyzeSyntaxResponse) GetLanguage ¶

func (m *AnalyzeSyntaxResponse) GetLanguage() string

func (*AnalyzeSyntaxResponse) GetSentences ¶

func (m *AnalyzeSyntaxResponse) GetSentences() []*Sentence

func (*AnalyzeSyntaxResponse) GetTokens ¶

func (m *AnalyzeSyntaxResponse) GetTokens() []*Token

func (*AnalyzeSyntaxResponse) ProtoMessage ¶

func (*AnalyzeSyntaxResponse) ProtoMessage()

func (*AnalyzeSyntaxResponse) Reset ¶

func (m *AnalyzeSyntaxResponse) Reset()

func (*AnalyzeSyntaxResponse) String ¶

func (m *AnalyzeSyntaxResponse) String() string

type AnnotateTextRequest ¶

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.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (*AnnotateTextRequest) Descriptor ¶

func (*AnnotateTextRequest) Descriptor() ([]byte, []int)

func (*AnnotateTextRequest) GetDocument ¶

func (m *AnnotateTextRequest) GetDocument() *Document

func (*AnnotateTextRequest) GetEncodingType ¶

func (m *AnnotateTextRequest) GetEncodingType() EncodingType

func (*AnnotateTextRequest) GetFeatures ¶

func (m *AnnotateTextRequest) GetFeatures() *AnnotateTextRequest_Features

func (*AnnotateTextRequest) ProtoMessage ¶

func (*AnnotateTextRequest) ProtoMessage()

func (*AnnotateTextRequest) Reset ¶

func (m *AnnotateTextRequest) Reset()

func (*AnnotateTextRequest) String ¶

func (m *AnnotateTextRequest) String() string

type AnnotateTextRequest_Features ¶

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"`
}

func (*AnnotateTextRequest_Features) Descriptor ¶

func (*AnnotateTextRequest_Features) Descriptor() ([]byte, []int)

func (*AnnotateTextRequest_Features) GetExtractDocumentSentiment ¶

func (m *AnnotateTextRequest_Features) GetExtractDocumentSentiment() bool

func (*AnnotateTextRequest_Features) GetExtractEntities ¶

func (m *AnnotateTextRequest_Features) GetExtractEntities() bool

func (*AnnotateTextRequest_Features) GetExtractSyntax ¶

func (m *AnnotateTextRequest_Features) GetExtractSyntax() bool

func (*AnnotateTextRequest_Features) ProtoMessage ¶

func (*AnnotateTextRequest_Features) ProtoMessage()

func (*AnnotateTextRequest_Features) Reset ¶

func (m *AnnotateTextRequest_Features) Reset()

func (*AnnotateTextRequest_Features) String ¶

func (m *AnnotateTextRequest_Features) String() string

type AnnotateTextResponse ¶

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.v1.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.v1.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.v1.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.v1.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.v1.Document.language] field for more details.
    Language string `protobuf:"bytes,5,opt,name=language" json:"language,omitempty"`
}

func (*AnnotateTextResponse) Descriptor ¶

func (*AnnotateTextResponse) Descriptor() ([]byte, []int)

func (*AnnotateTextResponse) GetDocumentSentiment ¶

func (m *AnnotateTextResponse) GetDocumentSentiment() *Sentiment

func (*AnnotateTextResponse) GetEntities ¶

func (m *AnnotateTextResponse) GetEntities() []*Entity

func (*AnnotateTextResponse) GetLanguage ¶

func (m *AnnotateTextResponse) GetLanguage() string

func (*AnnotateTextResponse) GetSentences ¶

func (m *AnnotateTextResponse) GetSentences() []*Sentence

func (*AnnotateTextResponse) GetTokens ¶

func (m *AnnotateTextResponse) GetTokens() []*Token

func (*AnnotateTextResponse) ProtoMessage ¶

func (*AnnotateTextResponse) ProtoMessage()

func (*AnnotateTextResponse) Reset ¶

func (m *AnnotateTextResponse) Reset()

func (*AnnotateTextResponse) String ¶

func (m *AnnotateTextResponse) String() string

type DependencyEdge ¶

Represents dependency parse tree information for a token. (For more information on dependency labels, see http://www.aclweb.org/anthology/P13-2017

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.v1.DependencyEdge_Label" json:"label,omitempty"`
}

func (*DependencyEdge) Descriptor ¶

func (*DependencyEdge) Descriptor() ([]byte, []int)

func (*DependencyEdge) GetHeadTokenIndex ¶

func (m *DependencyEdge) GetHeadTokenIndex() int32

func (*DependencyEdge) GetLabel ¶

func (m *DependencyEdge) GetLabel() DependencyEdge_Label

func (*DependencyEdge) ProtoMessage ¶

func (*DependencyEdge) ProtoMessage()

func (*DependencyEdge) Reset ¶

func (m *DependencyEdge) Reset()

func (*DependencyEdge) String ¶

func (m *DependencyEdge) String() string

type DependencyEdge_Label ¶

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
)

func (DependencyEdge_Label) EnumDescriptor ¶

func (DependencyEdge_Label) EnumDescriptor() ([]byte, []int)

func (DependencyEdge_Label) String ¶

func (x DependencyEdge_Label) String() string

type Document ¶

################################################################ #

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.v1.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](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.
    Language string `protobuf:"bytes,4,opt,name=language" json:"language,omitempty"`
}

func (*Document) Descriptor ¶

func (*Document) Descriptor() ([]byte, []int)

func (*Document) GetContent ¶

func (m *Document) GetContent() string

func (*Document) GetGcsContentUri ¶

func (m *Document) GetGcsContentUri() string

func (*Document) GetLanguage ¶

func (m *Document) GetLanguage() string

func (*Document) GetSource ¶

func (m *Document) GetSource() isDocument_Source

func (*Document) GetType ¶

func (m *Document) GetType() Document_Type

func (*Document) ProtoMessage ¶

func (*Document) ProtoMessage()

func (*Document) Reset ¶

func (m *Document) Reset()

func (*Document) String ¶

func (m *Document) String() string

func (*Document) XXX_OneofFuncs ¶

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{})

XXX_OneofFuncs is for the internal use of the proto package.

type Document_Content ¶

type Document_Content struct {
    Content string `protobuf:"bytes,2,opt,name=content,oneof"`
}

type Document_GcsContentUri ¶

type Document_GcsContentUri struct {
    GcsContentUri string `protobuf:"bytes,3,opt,name=gcs_content_uri,json=gcsContentUri,oneof"`
}

type Document_Type ¶

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
)

func (Document_Type) EnumDescriptor ¶

func (Document_Type) EnumDescriptor() ([]byte, []int)

func (Document_Type) String ¶

func (x Document_Type) String() string

type EncodingType ¶

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
)

func (EncodingType) EnumDescriptor ¶

func (EncodingType) EnumDescriptor() ([]byte, []int)

func (EncodingType) String ¶

func (x EncodingType) String() string

type Entity ¶

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.v1.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"`
}

func (*Entity) Descriptor ¶

func (*Entity) Descriptor() ([]byte, []int)

func (*Entity) GetMentions ¶

func (m *Entity) GetMentions() []*EntityMention

func (*Entity) GetMetadata ¶

func (m *Entity) GetMetadata() map[string]string

func (*Entity) GetName ¶

func (m *Entity) GetName() string

func (*Entity) GetSalience ¶

func (m *Entity) GetSalience() float32

func (*Entity) GetType ¶

func (m *Entity) GetType() Entity_Type

func (*Entity) ProtoMessage ¶

func (*Entity) ProtoMessage()

func (*Entity) Reset ¶

func (m *Entity) Reset()

func (*Entity) String ¶

func (m *Entity) String() string

type EntityMention ¶

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.v1.EntityMention_Type" json:"type,omitempty"`
}

func (*EntityMention) Descriptor ¶

func (*EntityMention) Descriptor() ([]byte, []int)

func (*EntityMention) GetText ¶

func (m *EntityMention) GetText() *TextSpan

func (*EntityMention) GetType ¶

func (m *EntityMention) GetType() EntityMention_Type

func (*EntityMention) ProtoMessage ¶

func (*EntityMention) ProtoMessage()

func (*EntityMention) Reset ¶

func (m *EntityMention) Reset()

func (*EntityMention) String ¶

func (m *EntityMention) String() string

type EntityMention_Type ¶

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
)

func (EntityMention_Type) EnumDescriptor ¶

func (EntityMention_Type) EnumDescriptor() ([]byte, []int)

func (EntityMention_Type) String ¶

func (x EntityMention_Type) String() string

type Entity_Type ¶

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
)

func (Entity_Type) EnumDescriptor ¶

func (Entity_Type) EnumDescriptor() ([]byte, []int)

func (Entity_Type) String ¶

func (x Entity_Type) String() string

type LanguageServiceClient ¶

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)
    // 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)
    // A convenience method that provides all the features that analyzeSentiment,
    // analyzeEntities, and analyzeSyntax provide in one call.
    AnnotateText(ctx context.Context, in *AnnotateTextRequest, opts ...grpc.CallOption) (*AnnotateTextResponse, error)
}

func NewLanguageServiceClient ¶

func NewLanguageServiceClient(cc *grpc.ClientConn) LanguageServiceClient

type LanguageServiceServer ¶

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)
    // 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)
    // A convenience method that provides all the features that analyzeSentiment,
    // analyzeEntities, and analyzeSyntax provide in one call.
    AnnotateText(context.Context, *AnnotateTextRequest) (*AnnotateTextResponse, error)
}

type PartOfSpeech ¶

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

type PartOfSpeech struct {
    // The part of speech tag.
    Tag PartOfSpeech_Tag `protobuf:"varint,1,opt,name=tag,enum=google.cloud.language.v1.PartOfSpeech_Tag" json:"tag,omitempty"`
    // The grammatical aspect.
    Aspect PartOfSpeech_Aspect `protobuf:"varint,2,opt,name=aspect,enum=google.cloud.language.v1.PartOfSpeech_Aspect" json:"aspect,omitempty"`
    // The grammatical case.
    Case PartOfSpeech_Case `protobuf:"varint,3,opt,name=case,enum=google.cloud.language.v1.PartOfSpeech_Case" json:"case,omitempty"`
    // The grammatical form.
    Form PartOfSpeech_Form `protobuf:"varint,4,opt,name=form,enum=google.cloud.language.v1.PartOfSpeech_Form" json:"form,omitempty"`
    // The grammatical gender.
    Gender PartOfSpeech_Gender `protobuf:"varint,5,opt,name=gender,enum=google.cloud.language.v1.PartOfSpeech_Gender" json:"gender,omitempty"`
    // The grammatical mood.
    Mood PartOfSpeech_Mood `protobuf:"varint,6,opt,name=mood,enum=google.cloud.language.v1.PartOfSpeech_Mood" json:"mood,omitempty"`
    // The grammatical number.
    Number PartOfSpeech_Number `protobuf:"varint,7,opt,name=number,enum=google.cloud.language.v1.PartOfSpeech_Number" json:"number,omitempty"`
    // The grammatical person.
    Person PartOfSpeech_Person `protobuf:"varint,8,opt,name=person,enum=google.cloud.language.v1.PartOfSpeech_Person" json:"person,omitempty"`
    // The grammatical properness.
    Proper PartOfSpeech_Proper `protobuf:"varint,9,opt,name=proper,enum=google.cloud.language.v1.PartOfSpeech_Proper" json:"proper,omitempty"`
    // The grammatical reciprocity.
    Reciprocity PartOfSpeech_Reciprocity `protobuf:"varint,10,opt,name=reciprocity,enum=google.cloud.language.v1.PartOfSpeech_Reciprocity" json:"reciprocity,omitempty"`
    // The grammatical tense.
    Tense PartOfSpeech_Tense `protobuf:"varint,11,opt,name=tense,enum=google.cloud.language.v1.PartOfSpeech_Tense" json:"tense,omitempty"`
    // The grammatical voice.
    Voice PartOfSpeech_Voice `protobuf:"varint,12,opt,name=voice,enum=google.cloud.language.v1.PartOfSpeech_Voice" json:"voice,omitempty"`
}

func (*PartOfSpeech) Descriptor ¶

func (*PartOfSpeech) Descriptor() ([]byte, []int)

func (*PartOfSpeech) GetAspect ¶

func (m *PartOfSpeech) GetAspect() PartOfSpeech_Aspect

func (*PartOfSpeech) GetCase ¶

func (m *PartOfSpeech) GetCase() PartOfSpeech_Case

func (*PartOfSpeech) GetForm ¶

func (m *PartOfSpeech) GetForm() PartOfSpeech_Form

func (*PartOfSpeech) GetGender ¶

func (m *PartOfSpeech) GetGender() PartOfSpeech_Gender

func (*PartOfSpeech) GetMood ¶

func (m *PartOfSpeech) GetMood() PartOfSpeech_Mood

func (*PartOfSpeech) GetNumber ¶

func (m *PartOfSpeech) GetNumber() PartOfSpeech_Number

func (*PartOfSpeech) GetPerson ¶

func (m *PartOfSpeech) GetPerson() PartOfSpeech_Person

func (*PartOfSpeech) GetProper ¶

func (m *PartOfSpeech) GetProper() PartOfSpeech_Proper

func (*PartOfSpeech) GetReciprocity ¶

func (m *PartOfSpeech) GetReciprocity() PartOfSpeech_Reciprocity

func (*PartOfSpeech) GetTag ¶

func (m *PartOfSpeech) GetTag() PartOfSpeech_Tag

func (*PartOfSpeech) GetTense ¶

func (m *PartOfSpeech) GetTense() PartOfSpeech_Tense

func (*PartOfSpeech) GetVoice ¶

func (m *PartOfSpeech) GetVoice() PartOfSpeech_Voice

func (*PartOfSpeech) ProtoMessage ¶

func (*PartOfSpeech) ProtoMessage()

func (*PartOfSpeech) Reset ¶

func (m *PartOfSpeech) Reset()

func (*PartOfSpeech) String ¶

func (m *PartOfSpeech) String() string

type PartOfSpeech_Aspect ¶

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
)

func (PartOfSpeech_Aspect) EnumDescriptor ¶

func (PartOfSpeech_Aspect) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Aspect) String ¶

func (x PartOfSpeech_Aspect) String() string

type PartOfSpeech_Case ¶

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
)

func (PartOfSpeech_Case) EnumDescriptor ¶

func (PartOfSpeech_Case) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Case) String ¶

func (x PartOfSpeech_Case) String() string

type PartOfSpeech_Form ¶

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
)

func (PartOfSpeech_Form) EnumDescriptor ¶

func (PartOfSpeech_Form) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Form) String ¶

func (x PartOfSpeech_Form) String() string

type PartOfSpeech_Gender ¶

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
)

func (PartOfSpeech_Gender) EnumDescriptor ¶

func (PartOfSpeech_Gender) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Gender) String ¶

func (x PartOfSpeech_Gender) String() string

type PartOfSpeech_Mood ¶

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
)

func (PartOfSpeech_Mood) EnumDescriptor ¶

func (PartOfSpeech_Mood) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Mood) String ¶

func (x PartOfSpeech_Mood) String() string

type PartOfSpeech_Number ¶

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
)

func (PartOfSpeech_Number) EnumDescriptor ¶

func (PartOfSpeech_Number) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Number) String ¶

func (x PartOfSpeech_Number) String() string

type PartOfSpeech_Person ¶

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
)

func (PartOfSpeech_Person) EnumDescriptor ¶

func (PartOfSpeech_Person) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Person) String ¶

func (x PartOfSpeech_Person) String() string

type PartOfSpeech_Proper ¶

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
)

func (PartOfSpeech_Proper) EnumDescriptor ¶

func (PartOfSpeech_Proper) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Proper) String ¶

func (x PartOfSpeech_Proper) String() string

type PartOfSpeech_Reciprocity ¶

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
)

func (PartOfSpeech_Reciprocity) EnumDescriptor ¶

func (PartOfSpeech_Reciprocity) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Reciprocity) String ¶

func (x PartOfSpeech_Reciprocity) String() string

type PartOfSpeech_Tag ¶

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
)

func (PartOfSpeech_Tag) EnumDescriptor ¶

func (PartOfSpeech_Tag) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Tag) String ¶

func (x PartOfSpeech_Tag) String() string

type PartOfSpeech_Tense ¶

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
)

func (PartOfSpeech_Tense) EnumDescriptor ¶

func (PartOfSpeech_Tense) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Tense) String ¶

func (x PartOfSpeech_Tense) String() string

type PartOfSpeech_Voice ¶

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
)

func (PartOfSpeech_Voice) EnumDescriptor ¶

func (PartOfSpeech_Voice) EnumDescriptor() ([]byte, []int)

func (PartOfSpeech_Voice) String ¶

func (x PartOfSpeech_Voice) String() string

type Sentence ¶

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.v1.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 (*Sentence) Descriptor ¶

func (*Sentence) Descriptor() ([]byte, []int)

func (*Sentence) GetSentiment ¶

func (m *Sentence) GetSentiment() *Sentiment

func (*Sentence) GetText ¶

func (m *Sentence) GetText() *TextSpan

func (*Sentence) ProtoMessage ¶

func (*Sentence) ProtoMessage()

func (*Sentence) Reset ¶

func (m *Sentence) Reset()

func (*Sentence) String ¶

func (m *Sentence) String() string

type Sentiment ¶

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 (*Sentiment) Descriptor ¶

func (*Sentiment) Descriptor() ([]byte, []int)

func (*Sentiment) GetMagnitude ¶

func (m *Sentiment) GetMagnitude() float32

func (*Sentiment) GetScore ¶

func (m *Sentiment) GetScore() float32

func (*Sentiment) ProtoMessage ¶

func (*Sentiment) ProtoMessage()

func (*Sentiment) Reset ¶

func (m *Sentiment) Reset()

func (*Sentiment) String ¶

func (m *Sentiment) String() string

type TextSpan ¶

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.v1.EncodingType] specified in the API request.
    BeginOffset int32 `protobuf:"varint,2,opt,name=begin_offset,json=beginOffset" json:"begin_offset,omitempty"`
}

func (*TextSpan) Descriptor ¶

func (*TextSpan) Descriptor() ([]byte, []int)

func (*TextSpan) GetBeginOffset ¶

func (m *TextSpan) GetBeginOffset() int32

func (*TextSpan) GetContent ¶

func (m *TextSpan) GetContent() string

func (*TextSpan) ProtoMessage ¶

func (*TextSpan) ProtoMessage()

func (*TextSpan) Reset ¶

func (m *TextSpan) Reset()

func (*TextSpan) String ¶

func (m *TextSpan) String() string

type Token ¶

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 (*Token) Descriptor ¶

func (*Token) Descriptor() ([]byte, []int)

func (*Token) GetDependencyEdge ¶

func (m *Token) GetDependencyEdge() *DependencyEdge

func (*Token) GetLemma ¶

func (m *Token) GetLemma() string

func (*Token) GetPartOfSpeech ¶

func (m *Token) GetPartOfSpeech() *PartOfSpeech

func (*Token) GetText ¶

func (m *Token) GetText() *TextSpan

func (*Token) ProtoMessage ¶

func (*Token) ProtoMessage()

func (*Token) Reset ¶

func (m *Token) Reset()

func (*Token) String ¶

func (m *Token) String() string