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Unified Diff: discovery/googleapis_beta/language__v1beta1.json

Issue 2779563003: Api-roll 47: 2017-03-27 (Closed)
Patch Set: Created 3 years, 9 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 e85f5f23c96986b1d71f53a63da96e24fb8c5cb8..4621db3e14f040712f1150c56507f8d482a820aa 100644
--- a/discovery/googleapis_beta/language__v1beta1.json
+++ b/discovery/googleapis_beta/language__v1beta1.json
@@ -25,34 +25,18 @@
"ownerDomain": "google.com",
"ownerName": "Google",
"parameters": {
- "oauth_token": {
- "description": "OAuth 2.0 token for the current user.",
- "location": "query",
- "type": "string"
- },
- "bearer_token": {
- "description": "OAuth bearer token.",
- "location": "query",
- "type": "string"
- },
- "upload_protocol": {
- "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
+ "uploadType": {
+ "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
"location": "query",
"type": "string"
},
- "prettyPrint": {
- "default": "true",
- "description": "Returns response with indentations and line breaks.",
- "location": "query",
- "type": "boolean"
- },
"fields": {
"description": "Selector specifying which fields to include in a partial response.",
"location": "query",
"type": "string"
},
- "uploadType": {
- "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
+ "callback": {
+ "description": "JSONP",
"location": "query",
"type": "string"
},
@@ -69,11 +53,6 @@
"location": "query",
"type": "string"
},
- "callback": {
- "description": "JSONP",
- "location": "query",
- "type": "string"
- },
"alt": {
"default": "json",
"description": "Data format for response.",
@@ -110,6 +89,27 @@
"description": "Pretty-print response.",
"location": "query",
"type": "boolean"
+ },
+ "bearer_token": {
+ "description": "OAuth bearer token.",
+ "location": "query",
+ "type": "string"
+ },
+ "oauth_token": {
+ "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"
}
},
"protocol": "rest",
@@ -117,7 +117,7 @@
"documents": {
"methods": {
"analyzeEntities": {
- "description": "Finds named entities (currently finds proper names) in the text,\nentity types, salience, mentions for each entity, and other properties.",
+ "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.analyzeEntities",
"parameterOrder": [],
@@ -187,220 +187,137 @@
}
}
},
- "revision": "20170301",
+ "revision": "20170320",
"rootUrl": "https://language.googleapis.com/",
"schemas": {
- "TextSpan": {
- "description": "Represents an output piece of text.",
- "id": "TextSpan",
- "properties": {
- "beginOffset": {
- "description": "The API calculates the beginning offset of the content in the original\ndocument according to the EncodingType specified in the API request.",
- "format": "int32",
- "type": "integer"
- },
- "content": {
- "description": "The content of the output text.",
- "type": "string"
- }
- },
- "type": "object"
- },
- "Token": {
- "description": "Represents the smallest syntactic building block of the text.",
- "id": "Token",
- "properties": {
- "partOfSpeech": {
- "$ref": "PartOfSpeech",
- "description": "Parts of speech tag for this token."
- },
- "text": {
- "$ref": "TextSpan",
- "description": "The token text."
- },
- "dependencyEdge": {
- "$ref": "DependencyEdge",
- "description": "Dependency tree parse for this token."
- },
- "lemma": {
- "description": "[Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.",
- "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` which 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 purpose.\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",
+ "PartOfSpeech": {
+ "description": "Represents part of speech information for a token.",
+ "id": "PartOfSpeech",
"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.",
+ "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"
},
- "details": {
- "description": "A list of messages that carry the error details. There will be a\ncommon set of message 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": {
- "extractSyntax": {
- "description": "Extract syntax information.",
- "type": "boolean"
- },
- "extractDocumentSentiment": {
- "description": "Extract document-level sentiment.",
- "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": {
- "text": {
- "$ref": "TextSpan",
- "description": "The mention text."
- },
- "type": {
- "description": "The type of the entity mention.",
+ "aspect": {
+ "description": "The grammatical aspect.",
"enum": [
- "TYPE_UNKNOWN",
- "PROPER",
- "COMMON"
+ "ASPECT_UNKNOWN",
+ "PERFECTIVE",
+ "IMPERFECTIVE",
+ "PROGRESSIVE"
],
"enumDescriptions": [
- "Unknown",
- "Proper name",
- "Common noun (or noun compound)"
+ "Aspect is not applicable in the analyzed language or is not predicted.",
+ "Perfective",
+ "Imperfective",
+ "Progressive"
],
"type": "string"
- }
- },
- "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**Current Language Restrictions:**\n\n * Only English, Spanish, and Japanese textual content are supported.\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.",
+ "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"
},
- "type": {
- "description": "Required. If the type is not set or is `TYPE_UNSPECIFIED`,\nreturns an `INVALID_ARGUMENT` error.",
+ "tag": {
+ "description": "The part of speech tag.",
"enum": [
- "TYPE_UNSPECIFIED",
- "PLAIN_TEXT",
- "HTML"
+ "UNKNOWN",
+ "ADJ",
+ "ADP",
+ "ADV",
+ "CONJ",
+ "DET",
+ "NOUN",
+ "NUM",
+ "PRON",
+ "PRT",
+ "PUNCT",
+ "VERB",
+ "X",
+ "AFFIX"
],
"enumDescriptions": [
- "The content type is not specified.",
- "Plain text",
- "HTML"
+ "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"
},
- "content": {
- "description": "The content of the input in string format.",
+ "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"
- },
- "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"
- },
- "AnalyzeEntitiesRequest": {
- "description": "The entity analysis request message.",
- "id": "AnalyzeEntitiesRequest",
- "properties": {
- "encodingType": {
- "description": "The encoding type used by the API to calculate offsets.",
+ "person": {
+ "description": "The grammatical person.",
"enum": [
- "NONE",
- "UTF8",
- "UTF16",
- "UTF32"
+ "PERSON_UNKNOWN",
+ "FIRST",
+ "SECOND",
+ "THIRD",
+ "REFLEXIVE_PERSON"
],
"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."
+ "Person is not applicable in the analyzed language or is not predicted.",
+ "First",
+ "Second",
+ "Third",
+ "Reflexive"
],
"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": {
- "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"
- },
- "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"
- },
- "score": {
- "description": "Sentiment score between -1.0 (negative sentiment) and 1.0\n(positive sentiment).",
- "format": "float",
- "type": "number"
- }
- },
- "type": "object"
- },
- "PartOfSpeech": {
- "description": "Represents part of speech information for a token.",
- "id": "PartOfSpeech",
- "properties": {
"proper": {
"description": "The grammatical properness.",
"enum": [
@@ -536,130 +453,6 @@
"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"
- },
- "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"
}
},
"type": "object"
@@ -717,16 +510,41 @@
"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"
+ },
+ "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"
@@ -775,78 +593,22 @@
"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"
- },
- "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"
- }
- },
- "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.",
- "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": {
- "$ref": "Document",
- "description": "Input document."
+ "type": "object"
},
- "features": {
- "$ref": "Features",
- "description": "The enabled features."
+ "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"
}
},
"type": "object"
},
- "AnalyzeSentimentRequest": {
- "description": "The sentiment analysis request message.",
- "id": "AnalyzeSentimentRequest",
+ "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 sentence offsets for the\nsentence sentiment.",
+ "description": "The encoding type used by the API to calculate offsets.",
"enum": [
"NONE",
"UTF8",
@@ -863,7 +625,11 @@
},
"document": {
"$ref": "Document",
- "description": "Input document. Currently, `analyzeSentiment` only supports English text\n(Document.language=\"EN\")."
+ "description": "Input document."
+ },
+ "features": {
+ "$ref": "Features",
+ "description": "The enabled features."
}
},
"type": "object"
@@ -904,6 +670,33 @@
},
"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": {
+ "$ref": "Document",
+ "description": "Input document. Currently, `analyzeSentiment` only supports English text\n(Document.language=\"EN\")."
+ }
+ },
+ "type": "object"
+ },
"DependencyEdge": {
"description": "Represents dependency parse tree information for a token.",
"id": "DependencyEdge",
@@ -1077,6 +870,213 @@
}
},
"type": "object"
+ },
+ "Token": {
+ "description": "Represents the smallest syntactic building block of the text.",
+ "id": "Token",
+ "properties": {
+ "text": {
+ "$ref": "TextSpan",
+ "description": "The token text."
+ },
+ "dependencyEdge": {
+ "$ref": "DependencyEdge",
+ "description": "Dependency tree parse for this token."
+ },
+ "lemma": {
+ "description": "[Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.",
+ "type": "string"
+ },
+ "partOfSpeech": {
+ "$ref": "PartOfSpeech",
+ "description": "Parts of speech tag for this token."
+ }
+ },
+ "type": "object"
+ },
+ "TextSpan": {
+ "description": "Represents an output piece of text.",
+ "id": "TextSpan",
+ "properties": {
+ "content": {
+ "description": "The content of the output text.",
+ "type": "string"
+ },
+ "beginOffset": {
+ "description": "The API calculates the beginning offset of the content in the original\ndocument according to the EncodingType specified in the API request.",
+ "format": "int32",
+ "type": "integer"
+ }
+ },
+ "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` which 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 purpose.\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 will be a\ncommon set of message 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": {
+ "extractSyntax": {
+ "description": "Extract syntax information.",
+ "type": "boolean"
+ },
+ "extractDocumentSentiment": {
+ "description": "Extract document-level sentiment.",
+ "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": {
+ "text": {
+ "$ref": "TextSpan",
+ "description": "The mention text."
+ },
+ "type": {
+ "description": "The type of the entity mention.",
+ "enum": [
+ "TYPE_UNKNOWN",
+ "PROPER",
+ "COMMON"
+ ],
+ "enumDescriptions": [
+ "Unknown",
+ "Proper name",
+ "Common noun (or noun compound)"
+ ],
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "Document": {
+ "description": "################################################################ #\n\nRepresents the input to API methods.",
+ "id": "Document",
+ "properties": {
+ "language": {
+ "description": "The language of the document (if not specified, the language is\nautomatically detected). Both ISO and BCP-47 language codes are\naccepted.<br>\n**Current Language Restrictions:**\n\n * Only English, Spanish, and Japanese textual content are supported.\nIf the language (either specified by the caller or automatically detected)\nis not supported by the called API method, an `INVALID_ARGUMENT` error\nis returned.",
+ "type": "string"
+ },
+ "type": {
+ "description": "Required. If the type is not set or is `TYPE_UNSPECIFIED`,\nreturns an `INVALID_ARGUMENT` error.",
+ "enum": [
+ "TYPE_UNSPECIFIED",
+ "PLAIN_TEXT",
+ "HTML"
+ ],
+ "enumDescriptions": [
+ "The content type is not specified.",
+ "Plain text",
+ "HTML"
+ ],
+ "type": "string"
+ },
+ "content": {
+ "description": "The content of the input in string format.",
+ "type": "string"
+ },
+ "gcsContentUri": {
+ "description": "The Google Cloud Storage URI where the file content is located.\nThis URI must be of the form: gs://bucket_name/object_name. For more\ndetails, see https://cloud.google.com/storage/docs/reference-uris.\nNOTE: Cloud Storage object versioning is not supported.",
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "Sentence": {
+ "description": "Represents a sentence in the input document.",
+ "id": "Sentence",
+ "properties": {
+ "text": {
+ "$ref": "TextSpan",
+ "description": "The sentence text."
+ },
+ "sentiment": {
+ "$ref": "Sentiment",
+ "description": "For calls to AnalyzeSentiment or if\nAnnotateTextRequest.Features.extract_document_sentiment is set to\ntrue, this field will contain the sentiment for the sentence."
+ }
+ },
+ "type": "object"
+ },
+ "Sentiment": {
+ "description": "Represents the feeling associated with the entire text or entities in\nthe text.",
+ "id": "Sentiment",
+ "properties": {
+ "polarity": {
+ "description": "DEPRECATED FIELD - This field is being deprecated in\nfavor of score. Please refer to our documentation at\nhttps://cloud.google.com/natural-language/docs for more information.",
+ "format": "float",
+ "type": "number"
+ },
+ "score": {
+ "description": "Sentiment score between -1.0 (negative sentiment) and 1.0\n(positive sentiment).",
+ "format": "float",
+ "type": "number"
+ },
+ "magnitude": {
+ "description": "A non-negative number in the [0, +inf) range, which represents\nthe absolute magnitude of sentiment regardless of score (positive or\nnegative).",
+ "format": "float",
+ "type": "number"
+ }
+ },
+ "type": "object"
+ },
+ "AnalyzeEntitiesRequest": {
+ "description": "The entity analysis request message.",
+ "id": "AnalyzeEntitiesRequest",
+ "properties": {
+ "document": {
+ "$ref": "Document",
+ "description": "Input document."
+ },
+ "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"
+ }
+ },
+ "type": "object"
}
},
"servicePath": "",
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