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Unified Diff: discovery/googleapis_beta/language__v1beta1.json

Issue 3006323002: Api-Roll 54: 2017-09-11 (Closed)
Patch Set: use 2.0.0-dev.infinity sdk constraint in pubspecs Created 3 years, 3 months ago
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Index: discovery/googleapis_beta/language__v1beta1.json
diff --git a/discovery/googleapis_beta/language__v1beta1.json b/discovery/googleapis_beta/language__v1beta1.json
index 920a3ef191287cad3125cb7786e731421caaa097..78accec54cccca754625f834817c3897e5e4709c 100644
--- a/discovery/googleapis_beta/language__v1beta1.json
+++ b/discovery/googleapis_beta/language__v1beta1.json
@@ -28,6 +28,45 @@
"ownerDomain": "google.com",
"ownerName": "Google",
"parameters": {
+ "upload_protocol": {
+ "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
+ "location": "query",
+ "type": "string"
+ },
+ "prettyPrint": {
+ "default": "true",
+ "description": "Returns response with indentations and line breaks.",
+ "location": "query",
+ "type": "boolean"
+ },
+ "uploadType": {
+ "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
+ "location": "query",
+ "type": "string"
+ },
+ "fields": {
+ "description": "Selector specifying which fields to include in a partial response.",
+ "location": "query",
+ "type": "string"
+ },
+ "$.xgafv": {
+ "description": "V1 error format.",
+ "enum": [
+ "1",
+ "2"
+ ],
+ "enumDescriptions": [
+ "v1 error format",
+ "v2 error format"
+ ],
+ "location": "query",
+ "type": "string"
+ },
+ "callback": {
+ "description": "JSONP",
+ "location": "query",
+ "type": "string"
+ },
"alt": {
"default": "json",
"description": "Data format for response.",
@@ -74,117 +113,78 @@
"description": "OAuth 2.0 token for the current user.",
"location": "query",
"type": "string"
- },
- "upload_protocol": {
- "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
- "location": "query",
- "type": "string"
- },
- "prettyPrint": {
- "default": "true",
- "description": "Returns response with indentations and line breaks.",
- "location": "query",
- "type": "boolean"
- },
- "uploadType": {
- "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
- "location": "query",
- "type": "string"
- },
- "fields": {
- "description": "Selector specifying which fields to include in a partial response.",
- "location": "query",
- "type": "string"
- },
- "$.xgafv": {
- "description": "V1 error format.",
- "enum": [
- "1",
- "2"
- ],
- "enumDescriptions": [
- "v1 error format",
- "v2 error format"
- ],
- "location": "query",
- "type": "string"
- },
- "callback": {
- "description": "JSONP",
- "location": "query",
- "type": "string"
}
},
"protocol": "rest",
"resources": {
"documents": {
"methods": {
- "analyzeEntities": {
- "description": "Finds named entities (currently proper names and common nouns) in the text\nalong with entity types, salience, mentions for each entity, and\nother properties.",
+ "analyzeSentiment": {
+ "description": "Analyzes the sentiment of the provided text.",
"httpMethod": "POST",
- "id": "language.documents.analyzeEntities",
+ "id": "language.documents.analyzeSentiment",
"parameterOrder": [],
"parameters": {},
- "path": "v1beta1/documents:analyzeEntities",
+ "path": "v1beta1/documents:analyzeSentiment",
"request": {
- "$ref": "AnalyzeEntitiesRequest"
+ "$ref": "AnalyzeSentimentRequest"
},
"response": {
- "$ref": "AnalyzeEntitiesResponse"
+ "$ref": "AnalyzeSentimentResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-language",
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "analyzeSyntax": {
- "description": "Analyzes the syntax of the text and provides sentence boundaries and\ntokenization along with part of speech tags, dependency trees, and other\nproperties.",
+ "annotateText": {
+ "description": "A convenience method that provides all the features that analyzeSentiment,\nanalyzeEntities, and analyzeSyntax provide in one call.",
"httpMethod": "POST",
- "id": "language.documents.analyzeSyntax",
+ "id": "language.documents.annotateText",
"parameterOrder": [],
"parameters": {},
- "path": "v1beta1/documents:analyzeSyntax",
+ "path": "v1beta1/documents:annotateText",
"request": {
- "$ref": "AnalyzeSyntaxRequest"
+ "$ref": "AnnotateTextRequest"
},
"response": {
- "$ref": "AnalyzeSyntaxResponse"
+ "$ref": "AnnotateTextResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-language",
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "analyzeSentiment": {
- "description": "Analyzes the sentiment of the provided text.",
+ "analyzeEntities": {
+ "description": "Finds named entities (currently proper names and common nouns) in the text\nalong with entity types, salience, mentions for each entity, and\nother properties.",
"httpMethod": "POST",
- "id": "language.documents.analyzeSentiment",
+ "id": "language.documents.analyzeEntities",
"parameterOrder": [],
"parameters": {},
- "path": "v1beta1/documents:analyzeSentiment",
+ "path": "v1beta1/documents:analyzeEntities",
"request": {
- "$ref": "AnalyzeSentimentRequest"
+ "$ref": "AnalyzeEntitiesRequest"
},
"response": {
- "$ref": "AnalyzeSentimentResponse"
+ "$ref": "AnalyzeEntitiesResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-language",
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "annotateText": {
- "description": "A convenience method that provides all the features that analyzeSentiment,\nanalyzeEntities, and analyzeSyntax provide in one call.",
+ "analyzeSyntax": {
+ "description": "Analyzes the syntax of the text and provides sentence boundaries and\ntokenization along with part of speech tags, dependency trees, and other\nproperties.",
"httpMethod": "POST",
- "id": "language.documents.annotateText",
+ "id": "language.documents.analyzeSyntax",
"parameterOrder": [],
"parameters": {},
- "path": "v1beta1/documents:annotateText",
+ "path": "v1beta1/documents:analyzeSyntax",
"request": {
- "$ref": "AnnotateTextRequest"
+ "$ref": "AnalyzeSyntaxRequest"
},
"response": {
- "$ref": "AnnotateTextResponse"
+ "$ref": "AnalyzeSyntaxResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-language",
@@ -194,128 +194,285 @@
}
}
},
- "revision": "20170809",
+ "revision": "20170905",
"rootUrl": "https://language.googleapis.com/",
"schemas": {
- "Entity": {
- "description": "Represents a phrase in the text that is a known entity, such as\na person, an organization, or location. The API associates information, such\nas salience and mentions, with entities.",
- "id": "Entity",
+ "PartOfSpeech": {
+ "description": "Represents part of speech information for a token.",
+ "id": "PartOfSpeech",
"properties": {
- "salience": {
- "description": "The salience score associated with the entity in the [0, 1.0] range.\n\nThe salience score for an entity provides information about the\nimportance or centrality of that entity to the entire document text.\nScores closer to 0 are less salient, while scores closer to 1.0 are highly\nsalient.",
- "format": "float",
- "type": "number"
- },
- "metadata": {
- "additionalProperties": {
- "type": "string"
- },
- "description": "Metadata associated with the entity.\n\nCurrently, Wikipedia URLs and Knowledge Graph MIDs are provided, if\navailable. The associated keys are \"wikipedia_url\" and \"mid\", respectively.",
- "type": "object"
- },
- "type": {
- "description": "The entity type.",
+ "person": {
+ "description": "The grammatical person.",
"enum": [
- "UNKNOWN",
- "PERSON",
- "LOCATION",
- "ORGANIZATION",
- "EVENT",
- "WORK_OF_ART",
- "CONSUMER_GOOD",
- "OTHER"
+ "PERSON_UNKNOWN",
+ "FIRST",
+ "SECOND",
+ "THIRD",
+ "REFLEXIVE_PERSON"
],
"enumDescriptions": [
- "Unknown",
- "Person",
- "Location",
- "Organization",
- "Event",
- "Work of art",
- "Consumer goods",
- "Other types"
+ "Person is not applicable in the analyzed language or is not predicted.",
+ "First",
+ "Second",
+ "Third",
+ "Reflexive"
],
"type": "string"
},
- "mentions": {
- "description": "The mentions of this entity in the input document. The API currently\nsupports proper noun mentions.",
- "items": {
- "$ref": "EntityMention"
- },
- "type": "array"
- },
- "name": {
- "description": "The representative name for the entity.",
- "type": "string"
- }
- },
- "type": "object"
- },
- "AnalyzeSyntaxResponse": {
- "description": "The syntax analysis response message.",
- "id": "AnalyzeSyntaxResponse",
- "properties": {
- "language": {
- "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
- "type": "string"
- },
- "sentences": {
- "description": "Sentences in the input document.",
- "items": {
- "$ref": "Sentence"
- },
- "type": "array"
- },
- "tokens": {
- "description": "Tokens, along with their syntactic information, in the input document.",
- "items": {
- "$ref": "Token"
- },
- "type": "array"
- }
- },
- "type": "object"
- },
- "AnnotateTextRequest": {
- "description": "The request message for the text annotation API, which can perform multiple\nanalysis types (sentiment, entities, and syntax) in one call.",
- "id": "AnnotateTextRequest",
- "properties": {
- "encodingType": {
- "description": "The encoding type used by the API to calculate offsets.",
+ "proper": {
+ "description": "The grammatical properness.",
"enum": [
- "NONE",
- "UTF8",
- "UTF16",
- "UTF32"
+ "PROPER_UNKNOWN",
+ "PROPER",
+ "NOT_PROPER"
],
"enumDescriptions": [
- "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.",
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.",
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.",
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively."
+ "Proper is not applicable in the analyzed language or is not predicted.",
+ "Proper",
+ "Not proper"
],
"type": "string"
},
- "document": {
- "$ref": "Document",
- "description": "Input document."
- },
- "features": {
- "$ref": "Features",
- "description": "The enabled features."
- }
- },
- "type": "object"
- },
- "AnalyzeSentimentRequest": {
- "description": "The sentiment analysis request message.",
- "id": "AnalyzeSentimentRequest",
- "properties": {
- "encodingType": {
- "description": "The encoding type used by the API to calculate sentence offsets for the\nsentence sentiment.",
+ "case": {
+ "description": "The grammatical case.",
"enum": [
- "NONE",
- "UTF8",
+ "CASE_UNKNOWN",
+ "ACCUSATIVE",
+ "ADVERBIAL",
+ "COMPLEMENTIVE",
+ "DATIVE",
+ "GENITIVE",
+ "INSTRUMENTAL",
+ "LOCATIVE",
+ "NOMINATIVE",
+ "OBLIQUE",
+ "PARTITIVE",
+ "PREPOSITIONAL",
+ "REFLEXIVE_CASE",
+ "RELATIVE_CASE",
+ "VOCATIVE"
+ ],
+ "enumDescriptions": [
+ "Case is not applicable in the analyzed language or is not predicted.",
+ "Accusative",
+ "Adverbial",
+ "Complementive",
+ "Dative",
+ "Genitive",
+ "Instrumental",
+ "Locative",
+ "Nominative",
+ "Oblique",
+ "Partitive",
+ "Prepositional",
+ "Reflexive",
+ "Relative",
+ "Vocative"
+ ],
+ "type": "string"
+ },
+ "tense": {
+ "description": "The grammatical tense.",
+ "enum": [
+ "TENSE_UNKNOWN",
+ "CONDITIONAL_TENSE",
+ "FUTURE",
+ "PAST",
+ "PRESENT",
+ "IMPERFECT",
+ "PLUPERFECT"
+ ],
+ "enumDescriptions": [
+ "Tense is not applicable in the analyzed language or is not predicted.",
+ "Conditional",
+ "Future",
+ "Past",
+ "Present",
+ "Imperfect",
+ "Pluperfect"
+ ],
+ "type": "string"
+ },
+ "reciprocity": {
+ "description": "The grammatical reciprocity.",
+ "enum": [
+ "RECIPROCITY_UNKNOWN",
+ "RECIPROCAL",
+ "NON_RECIPROCAL"
+ ],
+ "enumDescriptions": [
+ "Reciprocity is not applicable in the analyzed language or is not\npredicted.",
+ "Reciprocal",
+ "Non-reciprocal"
+ ],
+ "type": "string"
+ },
+ "form": {
+ "description": "The grammatical form.",
+ "enum": [
+ "FORM_UNKNOWN",
+ "ADNOMIAL",
+ "AUXILIARY",
+ "COMPLEMENTIZER",
+ "FINAL_ENDING",
+ "GERUND",
+ "REALIS",
+ "IRREALIS",
+ "SHORT",
+ "LONG",
+ "ORDER",
+ "SPECIFIC"
+ ],
+ "enumDescriptions": [
+ "Form is not applicable in the analyzed language or is not predicted.",
+ "Adnomial",
+ "Auxiliary",
+ "Complementizer",
+ "Final ending",
+ "Gerund",
+ "Realis",
+ "Irrealis",
+ "Short form",
+ "Long form",
+ "Order form",
+ "Specific form"
+ ],
+ "type": "string"
+ },
+ "number": {
+ "description": "The grammatical number.",
+ "enum": [
+ "NUMBER_UNKNOWN",
+ "SINGULAR",
+ "PLURAL",
+ "DUAL"
+ ],
+ "enumDescriptions": [
+ "Number is not applicable in the analyzed language or is not predicted.",
+ "Singular",
+ "Plural",
+ "Dual"
+ ],
+ "type": "string"
+ },
+ "voice": {
+ "description": "The grammatical voice.",
+ "enum": [
+ "VOICE_UNKNOWN",
+ "ACTIVE",
+ "CAUSATIVE",
+ "PASSIVE"
+ ],
+ "enumDescriptions": [
+ "Voice is not applicable in the analyzed language or is not predicted.",
+ "Active",
+ "Causative",
+ "Passive"
+ ],
+ "type": "string"
+ },
+ "aspect": {
+ "description": "The grammatical aspect.",
+ "enum": [
+ "ASPECT_UNKNOWN",
+ "PERFECTIVE",
+ "IMPERFECTIVE",
+ "PROGRESSIVE"
+ ],
+ "enumDescriptions": [
+ "Aspect is not applicable in the analyzed language or is not predicted.",
+ "Perfective",
+ "Imperfective",
+ "Progressive"
+ ],
+ "type": "string"
+ },
+ "mood": {
+ "description": "The grammatical mood.",
+ "enum": [
+ "MOOD_UNKNOWN",
+ "CONDITIONAL_MOOD",
+ "IMPERATIVE",
+ "INDICATIVE",
+ "INTERROGATIVE",
+ "JUSSIVE",
+ "SUBJUNCTIVE"
+ ],
+ "enumDescriptions": [
+ "Mood is not applicable in the analyzed language or is not predicted.",
+ "Conditional",
+ "Imperative",
+ "Indicative",
+ "Interrogative",
+ "Jussive",
+ "Subjunctive"
+ ],
+ "type": "string"
+ },
+ "tag": {
+ "description": "The part of speech tag.",
+ "enum": [
+ "UNKNOWN",
+ "ADJ",
+ "ADP",
+ "ADV",
+ "CONJ",
+ "DET",
+ "NOUN",
+ "NUM",
+ "PRON",
+ "PRT",
+ "PUNCT",
+ "VERB",
+ "X",
+ "AFFIX"
+ ],
+ "enumDescriptions": [
+ "Unknown",
+ "Adjective",
+ "Adposition (preposition and postposition)",
+ "Adverb",
+ "Conjunction",
+ "Determiner",
+ "Noun (common and proper)",
+ "Cardinal number",
+ "Pronoun",
+ "Particle or other function word",
+ "Punctuation",
+ "Verb (all tenses and modes)",
+ "Other: foreign words, typos, abbreviations",
+ "Affix"
+ ],
+ "type": "string"
+ },
+ "gender": {
+ "description": "The grammatical gender.",
+ "enum": [
+ "GENDER_UNKNOWN",
+ "FEMININE",
+ "MASCULINE",
+ "NEUTER"
+ ],
+ "enumDescriptions": [
+ "Gender is not applicable in the analyzed language or is not predicted.",
+ "Feminine",
+ "Masculine",
+ "Neuter"
+ ],
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "AnalyzeSyntaxRequest": {
+ "description": "The syntax analysis request message.",
+ "id": "AnalyzeSyntaxRequest",
+ "properties": {
+ "encodingType": {
+ "description": "The encoding type used by the API to calculate offsets.",
+ "enum": [
+ "NONE",
+ "UTF8",
"UTF16",
"UTF32"
],
@@ -334,38 +491,215 @@
},
"type": "object"
},
- "AnnotateTextResponse": {
- "description": "The text annotations response message.",
- "id": "AnnotateTextResponse",
+ "AnalyzeSentimentResponse": {
+ "description": "The sentiment analysis response message.",
+ "id": "AnalyzeSentimentResponse",
"properties": {
- "entities": {
- "description": "Entities, along with their semantic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_entities.",
- "items": {
- "$ref": "Entity"
- },
- "type": "array"
- },
"documentSentiment": {
"$ref": "Sentiment",
- "description": "The overall sentiment for the document. Populated if the user enables\nAnnotateTextRequest.Features.extract_document_sentiment."
+ "description": "The overall sentiment of the input document."
},
"language": {
"description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
"type": "string"
},
"sentences": {
- "description": "Sentences in the input document. Populated if the user enables\nAnnotateTextRequest.Features.extract_syntax.",
+ "description": "The sentiment for all the sentences in the document.",
"items": {
"$ref": "Sentence"
},
"type": "array"
- },
- "tokens": {
+ }
+ },
+ "type": "object"
+ },
+ "AnalyzeEntitiesResponse": {
+ "description": "The entity analysis response message.",
+ "id": "AnalyzeEntitiesResponse",
+ "properties": {
+ "entities": {
+ "description": "The recognized entities in the input document.",
+ "items": {
+ "$ref": "Entity"
+ },
+ "type": "array"
+ },
+ "language": {
+ "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "AnalyzeSyntaxResponse": {
+ "description": "The syntax analysis response message.",
+ "id": "AnalyzeSyntaxResponse",
+ "properties": {
+ "language": {
+ "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
+ "type": "string"
+ },
+ "sentences": {
+ "description": "Sentences in the input document.",
+ "items": {
+ "$ref": "Sentence"
+ },
+ "type": "array"
+ },
+ "tokens": {
+ "description": "Tokens, along with their syntactic information, in the input document.",
+ "items": {
+ "$ref": "Token"
+ },
+ "type": "array"
+ }
+ },
+ "type": "object"
+ },
+ "Entity": {
+ "description": "Represents a phrase in the text that is a known entity, such as\na person, an organization, or location. The API associates information, such\nas salience and mentions, with entities.",
+ "id": "Entity",
+ "properties": {
+ "mentions": {
+ "description": "The mentions of this entity in the input document. The API currently\nsupports proper noun mentions.",
+ "items": {
+ "$ref": "EntityMention"
+ },
+ "type": "array"
+ },
+ "name": {
+ "description": "The representative name for the entity.",
+ "type": "string"
+ },
+ "salience": {
+ "description": "The salience score associated with the entity in the [0, 1.0] range.\n\nThe salience score for an entity provides information about the\nimportance or centrality of that entity to the entire document text.\nScores closer to 0 are less salient, while scores closer to 1.0 are highly\nsalient.",
+ "format": "float",
+ "type": "number"
+ },
+ "metadata": {
+ "additionalProperties": {
+ "type": "string"
+ },
+ "description": "Metadata associated with the entity.\n\nCurrently, Wikipedia URLs and Knowledge Graph MIDs are provided, if\navailable. The associated keys are \"wikipedia_url\" and \"mid\", respectively.",
+ "type": "object"
+ },
+ "type": {
+ "description": "The entity type.",
+ "enum": [
+ "UNKNOWN",
+ "PERSON",
+ "LOCATION",
+ "ORGANIZATION",
+ "EVENT",
+ "WORK_OF_ART",
+ "CONSUMER_GOOD",
+ "OTHER"
+ ],
+ "enumDescriptions": [
+ "Unknown",
+ "Person",
+ "Location",
+ "Organization",
+ "Event",
+ "Work of art",
+ "Consumer goods",
+ "Other types"
+ ],
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "AnnotateTextRequest": {
+ "description": "The request message for the text annotation API, which can perform multiple\nanalysis types (sentiment, entities, and syntax) in one call.",
+ "id": "AnnotateTextRequest",
+ "properties": {
+ "encodingType": {
+ "description": "The encoding type used by the API to calculate offsets.",
+ "enum": [
+ "NONE",
+ "UTF8",
+ "UTF16",
+ "UTF32"
+ ],
+ "enumDescriptions": [
+ "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.",
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.",
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.",
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively."
+ ],
+ "type": "string"
+ },
+ "document": {
+ "$ref": "Document",
+ "description": "Input document."
+ },
+ "features": {
+ "$ref": "Features",
+ "description": "The enabled features."
+ }
+ },
+ "type": "object"
+ },
+ "AnnotateTextResponse": {
+ "description": "The text annotations response message.",
+ "id": "AnnotateTextResponse",
+ "properties": {
+ "language": {
+ "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
+ "type": "string"
+ },
+ "sentences": {
+ "description": "Sentences in the input document. Populated if the user enables\nAnnotateTextRequest.Features.extract_syntax.",
+ "items": {
+ "$ref": "Sentence"
+ },
+ "type": "array"
+ },
+ "tokens": {
"description": "Tokens, along with their syntactic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_syntax.",
"items": {
"$ref": "Token"
},
"type": "array"
+ },
+ "entities": {
+ "description": "Entities, along with their semantic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_entities.",
+ "items": {
+ "$ref": "Entity"
+ },
+ "type": "array"
+ },
+ "documentSentiment": {
+ "$ref": "Sentiment",
+ "description": "The overall sentiment for the document. Populated if the user enables\nAnnotateTextRequest.Features.extract_document_sentiment."
+ }
+ },
+ "type": "object"
+ },
+ "AnalyzeSentimentRequest": {
+ "description": "The sentiment analysis request message.",
+ "id": "AnalyzeSentimentRequest",
+ "properties": {
+ "encodingType": {
+ "description": "The encoding type used by the API to calculate sentence offsets for the\nsentence sentiment.",
+ "enum": [
+ "NONE",
+ "UTF8",
+ "UTF16",
+ "UTF32"
+ ],
+ "enumDescriptions": [
+ "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.",
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.",
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.",
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively."
+ ],
+ "type": "string"
+ },
+ "document": {
+ "$ref": "Document",
+ "description": "Input document."
}
},
"type": "object"
@@ -374,6 +708,11 @@
"description": "Represents dependency parse tree information for a token.",
"id": "DependencyEdge",
"properties": {
+ "headTokenIndex": {
+ "description": "Represents the head of this token in the dependency tree.\nThis is the index of the token which has an arc going to this token.\nThe index is the position of the token in the array of tokens returned\nby the API method. If this token is a root token, then the\n`head_token_index` is its own index.",
+ "format": "int32",
+ "type": "integer"
+ },
"label": {
"description": "The parse label for the token.",
"enum": [
@@ -535,11 +874,6 @@
"Dislocated relation (for fronted/topicalized elements)"
],
"type": "string"
- },
- "headTokenIndex": {
- "description": "Represents the head of this token in the dependency tree.\nThis is the index of the token which has an arc going to this token.\nThe index is the position of the token in the array of tokens returned\nby the API method. If this token is a root token, then the\n`head_token_index` is its own index.",
- "format": "int32",
- "type": "integer"
}
},
"type": "object"
@@ -579,448 +913,154 @@
"content": {
"description": "The content of the output text.",
"type": "string"
- }
- },
- "type": "object"
- },
- "Status": {
- "description": "The `Status` type defines a logical error model that is suitable for different\nprogramming environments, including REST APIs and RPC APIs. It is used by\n[gRPC](https://github.com/grpc). The error model is designed to be:\n\n- Simple to use and understand for most users\n- Flexible enough to meet unexpected needs\n\n# Overview\n\nThe `Status` message contains three pieces of data: error code, error message,\nand error details. The error code should be an enum value of\ngoogle.rpc.Code, but it may accept additional error codes if needed. The\nerror message should be a developer-facing English message that helps\ndevelopers *understand* and *resolve* the error. If a localized user-facing\nerror message is needed, put the localized message in the error details or\nlocalize it in the client. The optional error details may contain arbitrary\ninformation about the error. There is a predefined set of error detail types\nin the package `google.rpc` that can be used for common error conditions.\n\n# Language mapping\n\nThe `Status` message is the logical representation of the error model, but it\nis not necessarily the actual wire format. When the `Status` message is\nexposed in different client libraries and different wire protocols, it can be\nmapped differently. For example, it will likely be mapped to some exceptions\nin Java, but more likely mapped to some error codes in C.\n\n# Other uses\n\nThe error model and the `Status` message can be used in a variety of\nenvironments, either with or without APIs, to provide a\nconsistent developer experience across different environments.\n\nExample uses of this error model include:\n\n- Partial errors. If a service needs to return partial errors to the client,\n it may embed the `Status` in the normal response to indicate the partial\n errors.\n\n- Workflow errors. A typical workflow has multiple steps. Each step may\n have a `Status` message for error reporting.\n\n- Batch operations. If a client uses batch request and batch response, the\n `Status` message should be used directly inside batch response, one for\n each error sub-response.\n\n- Asynchronous operations. If an API call embeds asynchronous operation\n results in its response, the status of those operations should be\n represented directly using the `Status` message.\n\n- Logging. If some API errors are stored in logs, the message `Status` could\n be used directly after any stripping needed for security/privacy reasons.",
- "id": "Status",
- "properties": {
- "message": {
- "description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.",
- "type": "string"
- },
- "details": {
- "description": "A list of messages that carry the error details. There is a common set of\nmessage types for APIs to use.",
- "items": {
- "additionalProperties": {
- "description": "Properties of the object. Contains field @type with type URL.",
- "type": "any"
- },
- "type": "object"
- },
- "type": "array"
- },
- "code": {
- "description": "The status code, which should be an enum value of google.rpc.Code.",
- "format": "int32",
- "type": "integer"
- }
- },
- "type": "object"
- },
- "Features": {
- "description": "All available features for sentiment, syntax, and semantic analysis.\nSetting each one to true will enable that specific analysis for the input.",
- "id": "Features",
- "properties": {
- "extractEntities": {
- "description": "Extract entities.",
- "type": "boolean"
- },
- "extractDocumentSentiment": {
- "description": "Extract document-level sentiment.",
- "type": "boolean"
- },
- "extractSyntax": {
- "description": "Extract syntax information.",
- "type": "boolean"
- }
- },
- "type": "object"
- },
- "EntityMention": {
- "description": "Represents a mention for an entity in the text. Currently, proper noun\nmentions are supported.",
- "id": "EntityMention",
- "properties": {
- "type": {
- "description": "The type of the entity mention.",
- "enum": [
- "TYPE_UNKNOWN",
- "PROPER",
- "COMMON"
- ],
- "enumDescriptions": [
- "Unknown",
- "Proper name",
- "Common noun (or noun compound)"
- ],
- "type": "string"
- },
- "text": {
- "$ref": "TextSpan",
- "description": "The mention text."
- }
- },
- "type": "object"
- },
- "Sentence": {
- "description": "Represents a sentence in the input document.",
- "id": "Sentence",
- "properties": {
- "text": {
- "$ref": "TextSpan",
- "description": "The sentence text."
- },
- "sentiment": {
- "$ref": "Sentiment",
- "description": "For calls to AnalyzeSentiment or if\nAnnotateTextRequest.Features.extract_document_sentiment is set to\ntrue, this field will contain the sentiment for the sentence."
- }
- },
- "type": "object"
- },
- "Document": {
- "description": "################################################################ #\n\nRepresents the input to API methods.",
- "id": "Document",
- "properties": {
- "gcsContentUri": {
- "description": "The Google Cloud Storage URI where the file content is located.\nThis URI must be of the form: gs://bucket_name/object_name. For more\ndetails, see https://cloud.google.com/storage/docs/reference-uris.\nNOTE: Cloud Storage object versioning is not supported.",
- "type": "string"
- },
- "language": {
- "description": "The language of the document (if not specified, the language is\nautomatically detected). Both ISO and BCP-47 language codes are\naccepted.<br>\n[Language Support](/natural-language/docs/languages)\nlists currently supported languages for each API method.\nIf the language (either specified by the caller or automatically detected)\nis not supported by the called API method, an `INVALID_ARGUMENT` error\nis returned.",
- "type": "string"
- },
- "content": {
- "description": "The content of the input in string format.",
- "type": "string"
- },
- "type": {
- "description": "Required. If the type is not set or is `TYPE_UNSPECIFIED`,\nreturns an `INVALID_ARGUMENT` error.",
- "enum": [
- "TYPE_UNSPECIFIED",
- "PLAIN_TEXT",
- "HTML"
- ],
- "enumDescriptions": [
- "The content type is not specified.",
- "Plain text",
- "HTML"
- ],
- "type": "string"
- }
- },
- "type": "object"
- },
- "AnalyzeEntitiesRequest": {
- "description": "The entity analysis request message.",
- "id": "AnalyzeEntitiesRequest",
- "properties": {
- "encodingType": {
- "description": "The encoding type used by the API to calculate offsets.",
- "enum": [
- "NONE",
- "UTF8",
- "UTF16",
- "UTF32"
- ],
- "enumDescriptions": [
- "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.",
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.",
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.",
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively."
- ],
- "type": "string"
- },
- "document": {
- "$ref": "Document",
- "description": "Input document."
- }
- },
- "type": "object"
- },
- "Sentiment": {
- "description": "Represents the feeling associated with the entire text or entities in\nthe text.",
- "id": "Sentiment",
- "properties": {
- "score": {
- "description": "Sentiment score between -1.0 (negative sentiment) and 1.0\n(positive sentiment).",
- "format": "float",
- "type": "number"
- },
- "polarity": {
- "description": "DEPRECATED FIELD - This field is being deprecated in\nfavor of score. Please refer to our documentation at\nhttps://cloud.google.com/natural-language/docs for more information.",
- "format": "float",
- "type": "number"
- },
- "magnitude": {
- "description": "A non-negative number in the [0, +inf) range, which represents\nthe absolute magnitude of sentiment regardless of score (positive or\nnegative).",
- "format": "float",
- "type": "number"
- }
- },
- "type": "object"
- },
- "PartOfSpeech": {
- "description": "Represents part of speech information for a token.",
- "id": "PartOfSpeech",
- "properties": {
- "gender": {
- "description": "The grammatical gender.",
- "enum": [
- "GENDER_UNKNOWN",
- "FEMININE",
- "MASCULINE",
- "NEUTER"
- ],
- "enumDescriptions": [
- "Gender is not applicable in the analyzed language or is not predicted.",
- "Feminine",
- "Masculine",
- "Neuter"
- ],
- "type": "string"
- },
- "person": {
- "description": "The grammatical person.",
- "enum": [
- "PERSON_UNKNOWN",
- "FIRST",
- "SECOND",
- "THIRD",
- "REFLEXIVE_PERSON"
- ],
- "enumDescriptions": [
- "Person is not applicable in the analyzed language or is not predicted.",
- "First",
- "Second",
- "Third",
- "Reflexive"
- ],
- "type": "string"
- },
- "proper": {
- "description": "The grammatical properness.",
- "enum": [
- "PROPER_UNKNOWN",
- "PROPER",
- "NOT_PROPER"
- ],
- "enumDescriptions": [
- "Proper is not applicable in the analyzed language or is not predicted.",
- "Proper",
- "Not proper"
- ],
- "type": "string"
- },
- "case": {
- "description": "The grammatical case.",
- "enum": [
- "CASE_UNKNOWN",
- "ACCUSATIVE",
- "ADVERBIAL",
- "COMPLEMENTIVE",
- "DATIVE",
- "GENITIVE",
- "INSTRUMENTAL",
- "LOCATIVE",
- "NOMINATIVE",
- "OBLIQUE",
- "PARTITIVE",
- "PREPOSITIONAL",
- "REFLEXIVE_CASE",
- "RELATIVE_CASE",
- "VOCATIVE"
- ],
- "enumDescriptions": [
- "Case is not applicable in the analyzed language or is not predicted.",
- "Accusative",
- "Adverbial",
- "Complementive",
- "Dative",
- "Genitive",
- "Instrumental",
- "Locative",
- "Nominative",
- "Oblique",
- "Partitive",
- "Prepositional",
- "Reflexive",
- "Relative",
- "Vocative"
- ],
- "type": "string"
- },
- "tense": {
- "description": "The grammatical tense.",
- "enum": [
- "TENSE_UNKNOWN",
- "CONDITIONAL_TENSE",
- "FUTURE",
- "PAST",
- "PRESENT",
- "IMPERFECT",
- "PLUPERFECT"
- ],
- "enumDescriptions": [
- "Tense is not applicable in the analyzed language or is not predicted.",
- "Conditional",
- "Future",
- "Past",
- "Present",
- "Imperfect",
- "Pluperfect"
- ],
- "type": "string"
- },
- "reciprocity": {
- "description": "The grammatical reciprocity.",
- "enum": [
- "RECIPROCITY_UNKNOWN",
- "RECIPROCAL",
- "NON_RECIPROCAL"
- ],
- "enumDescriptions": [
- "Reciprocity is not applicable in the analyzed language or is not\npredicted.",
- "Reciprocal",
- "Non-reciprocal"
- ],
- "type": "string"
- },
- "form": {
- "description": "The grammatical form.",
- "enum": [
- "FORM_UNKNOWN",
- "ADNOMIAL",
- "AUXILIARY",
- "COMPLEMENTIZER",
- "FINAL_ENDING",
- "GERUND",
- "REALIS",
- "IRREALIS",
- "SHORT",
- "LONG",
- "ORDER",
- "SPECIFIC"
- ],
- "enumDescriptions": [
- "Form is not applicable in the analyzed language or is not predicted.",
- "Adnomial",
- "Auxiliary",
- "Complementizer",
- "Final ending",
- "Gerund",
- "Realis",
- "Irrealis",
- "Short form",
- "Long form",
- "Order form",
- "Specific form"
- ],
+ }
+ },
+ "type": "object"
+ },
+ "Status": {
+ "description": "The `Status` type defines a logical error model that is suitable for different\nprogramming environments, including REST APIs and RPC APIs. It is used by\n[gRPC](https://github.com/grpc). The error model is designed to be:\n\n- Simple to use and understand for most users\n- Flexible enough to meet unexpected needs\n\n# Overview\n\nThe `Status` message contains three pieces of data: error code, error message,\nand error details. The error code should be an enum value of\ngoogle.rpc.Code, but it may accept additional error codes if needed. The\nerror message should be a developer-facing English message that helps\ndevelopers *understand* and *resolve* the error. If a localized user-facing\nerror message is needed, put the localized message in the error details or\nlocalize it in the client. The optional error details may contain arbitrary\ninformation about the error. There is a predefined set of error detail types\nin the package `google.rpc` that can be used for common error conditions.\n\n# Language mapping\n\nThe `Status` message is the logical representation of the error model, but it\nis not necessarily the actual wire format. When the `Status` message is\nexposed in different client libraries and different wire protocols, it can be\nmapped differently. For example, it will likely be mapped to some exceptions\nin Java, but more likely mapped to some error codes in C.\n\n# Other uses\n\nThe error model and the `Status` message can be used in a variety of\nenvironments, either with or without APIs, to provide a\nconsistent developer experience across different environments.\n\nExample uses of this error model include:\n\n- Partial errors. If a service needs to return partial errors to the client,\n it may embed the `Status` in the normal response to indicate the partial\n errors.\n\n- Workflow errors. A typical workflow has multiple steps. Each step may\n have a `Status` message for error reporting.\n\n- Batch operations. If a client uses batch request and batch response, the\n `Status` message should be used directly inside batch response, one for\n each error sub-response.\n\n- Asynchronous operations. If an API call embeds asynchronous operation\n results in its response, the status of those operations should be\n represented directly using the `Status` message.\n\n- Logging. If some API errors are stored in logs, the message `Status` could\n be used directly after any stripping needed for security/privacy reasons.",
+ "id": "Status",
+ "properties": {
+ "message": {
+ "description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.",
"type": "string"
},
- "number": {
- "description": "The grammatical number.",
+ "details": {
+ "description": "A list of messages that carry the error details. There is a common set of\nmessage types for APIs to use.",
+ "items": {
+ "additionalProperties": {
+ "description": "Properties of the object. Contains field @type with type URL.",
+ "type": "any"
+ },
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "code": {
+ "description": "The status code, which should be an enum value of google.rpc.Code.",
+ "format": "int32",
+ "type": "integer"
+ }
+ },
+ "type": "object"
+ },
+ "Features": {
+ "description": "All available features for sentiment, syntax, and semantic analysis.\nSetting each one to true will enable that specific analysis for the input.",
+ "id": "Features",
+ "properties": {
+ "extractDocumentSentiment": {
+ "description": "Extract document-level sentiment.",
+ "type": "boolean"
+ },
+ "extractSyntax": {
+ "description": "Extract syntax information.",
+ "type": "boolean"
+ },
+ "extractEntities": {
+ "description": "Extract entities.",
+ "type": "boolean"
+ }
+ },
+ "type": "object"
+ },
+ "EntityMention": {
+ "description": "Represents a mention for an entity in the text. Currently, proper noun\nmentions are supported.",
+ "id": "EntityMention",
+ "properties": {
+ "type": {
+ "description": "The type of the entity mention.",
"enum": [
- "NUMBER_UNKNOWN",
- "SINGULAR",
- "PLURAL",
- "DUAL"
+ "TYPE_UNKNOWN",
+ "PROPER",
+ "COMMON"
],
"enumDescriptions": [
- "Number is not applicable in the analyzed language or is not predicted.",
- "Singular",
- "Plural",
- "Dual"
+ "Unknown",
+ "Proper name",
+ "Common noun (or noun compound)"
],
"type": "string"
},
- "voice": {
- "description": "The grammatical voice.",
- "enum": [
- "VOICE_UNKNOWN",
- "ACTIVE",
- "CAUSATIVE",
- "PASSIVE"
- ],
- "enumDescriptions": [
- "Voice is not applicable in the analyzed language or is not predicted.",
- "Active",
- "Causative",
- "Passive"
- ],
+ "text": {
+ "$ref": "TextSpan",
+ "description": "The mention text."
+ }
+ },
+ "type": "object"
+ },
+ "Sentence": {
+ "description": "Represents a sentence in the input document.",
+ "id": "Sentence",
+ "properties": {
+ "sentiment": {
+ "$ref": "Sentiment",
+ "description": "For calls to AnalyzeSentiment or if\nAnnotateTextRequest.Features.extract_document_sentiment is set to\ntrue, this field will contain the sentiment for the sentence."
+ },
+ "text": {
+ "$ref": "TextSpan",
+ "description": "The sentence text."
+ }
+ },
+ "type": "object"
+ },
+ "Document": {
+ "description": "################################################################ #\n\nRepresents the input to API methods.",
+ "id": "Document",
+ "properties": {
+ "gcsContentUri": {
+ "description": "The Google Cloud Storage URI where the file content is located.\nThis URI must be of the form: gs://bucket_name/object_name. For more\ndetails, see https://cloud.google.com/storage/docs/reference-uris.\nNOTE: Cloud Storage object versioning is not supported.",
"type": "string"
},
- "aspect": {
- "description": "The grammatical aspect.",
- "enum": [
- "ASPECT_UNKNOWN",
- "PERFECTIVE",
- "IMPERFECTIVE",
- "PROGRESSIVE"
- ],
- "enumDescriptions": [
- "Aspect is not applicable in the analyzed language or is not predicted.",
- "Perfective",
- "Imperfective",
- "Progressive"
- ],
+ "language": {
+ "description": "The language of the document (if not specified, the language is\nautomatically detected). Both ISO and BCP-47 language codes are\naccepted.<br>\n[Language Support](/natural-language/docs/languages)\nlists currently supported languages for each API method.\nIf the language (either specified by the caller or automatically detected)\nis not supported by the called API method, an `INVALID_ARGUMENT` error\nis returned.",
"type": "string"
},
- "mood": {
- "description": "The grammatical mood.",
- "enum": [
- "MOOD_UNKNOWN",
- "CONDITIONAL_MOOD",
- "IMPERATIVE",
- "INDICATIVE",
- "INTERROGATIVE",
- "JUSSIVE",
- "SUBJUNCTIVE"
- ],
- "enumDescriptions": [
- "Mood is not applicable in the analyzed language or is not predicted.",
- "Conditional",
- "Imperative",
- "Indicative",
- "Interrogative",
- "Jussive",
- "Subjunctive"
- ],
+ "content": {
+ "description": "The content of the input in string format.",
"type": "string"
},
- "tag": {
- "description": "The part of speech tag.",
+ "type": {
+ "description": "Required. If the type is not set or is `TYPE_UNSPECIFIED`,\nreturns an `INVALID_ARGUMENT` error.",
"enum": [
- "UNKNOWN",
- "ADJ",
- "ADP",
- "ADV",
- "CONJ",
- "DET",
- "NOUN",
- "NUM",
- "PRON",
- "PRT",
- "PUNCT",
- "VERB",
- "X",
- "AFFIX"
+ "TYPE_UNSPECIFIED",
+ "PLAIN_TEXT",
+ "HTML"
],
"enumDescriptions": [
- "Unknown",
- "Adjective",
- "Adposition (preposition and postposition)",
- "Adverb",
- "Conjunction",
- "Determiner",
- "Noun (common and proper)",
- "Cardinal number",
- "Pronoun",
- "Particle or other function word",
- "Punctuation",
- "Verb (all tenses and modes)",
- "Other: foreign words, typos, abbreviations",
- "Affix"
+ "The content type is not specified.",
+ "Plain text",
+ "HTML"
],
"type": "string"
}
},
"type": "object"
},
- "AnalyzeSyntaxRequest": {
- "description": "The syntax analysis request message.",
- "id": "AnalyzeSyntaxRequest",
+ "Sentiment": {
+ "description": "Represents the feeling associated with the entire text or entities in\nthe text.",
+ "id": "Sentiment",
+ "properties": {
+ "magnitude": {
+ "description": "A non-negative number in the [0, +inf) range, which represents\nthe absolute magnitude of sentiment regardless of score (positive or\nnegative).",
+ "format": "float",
+ "type": "number"
+ },
+ "score": {
+ "description": "Sentiment score between -1.0 (negative sentiment) and 1.0\n(positive sentiment).",
+ "format": "float",
+ "type": "number"
+ },
+ "polarity": {
+ "description": "DEPRECATED FIELD - This field is being deprecated in\nfavor of score. Please refer to our documentation at\nhttps://cloud.google.com/natural-language/docs for more information.",
+ "format": "float",
+ "type": "number"
+ }
+ },
+ "type": "object"
+ },
+ "AnalyzeEntitiesRequest": {
+ "description": "The entity analysis request message.",
+ "id": "AnalyzeEntitiesRequest",
"properties": {
"encodingType": {
"description": "The encoding type used by the API to calculate offsets.",
@@ -1044,46 +1084,6 @@
}
},
"type": "object"
- },
- "AnalyzeSentimentResponse": {
- "description": "The sentiment analysis response message.",
- "id": "AnalyzeSentimentResponse",
- "properties": {
- "language": {
- "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
- "type": "string"
- },
- "sentences": {
- "description": "The sentiment for all the sentences in the document.",
- "items": {
- "$ref": "Sentence"
- },
- "type": "array"
- },
- "documentSentiment": {
- "$ref": "Sentiment",
- "description": "The overall sentiment of the input document."
- }
- },
- "type": "object"
- },
- "AnalyzeEntitiesResponse": {
- "description": "The entity analysis response message.",
- "id": "AnalyzeEntitiesResponse",
- "properties": {
- "language": {
- "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.",
- "type": "string"
- },
- "entities": {
- "description": "The recognized entities in the input document.",
- "items": {
- "$ref": "Entity"
- },
- "type": "array"
- }
- },
- "type": "object"
}
},
"servicePath": "",
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