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| <h1><a href="language_v2.html">Cloud Natural Language API</a> . <a href="language_v2.documents.html">documents</a></h1> | |
| <h2>Instance Methods</h2> | |
| <p class="toc_element"> | |
| <code><a href="#analyzeEntities">analyzeEntities(body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Finds named entities (currently proper names and common nouns) in the text along with entity types, probability, mentions for each entity, and other properties.</p> | |
| <p class="toc_element"> | |
| <code><a href="#analyzeSentiment">analyzeSentiment(body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Analyzes the sentiment of the provided text.</p> | |
| <p class="toc_element"> | |
| <code><a href="#annotateText">annotateText(body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">A convenience method that provides all features in one call.</p> | |
| <p class="toc_element"> | |
| <code><a href="#classifyText">classifyText(body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Classifies a document into categories.</p> | |
| <p class="toc_element"> | |
| <code><a href="#close">close()</a></code></p> | |
| <p class="firstline">Close httplib2 connections.</p> | |
| <p class="toc_element"> | |
| <code><a href="#moderateText">moderateText(body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Moderates a document for harmful and sensitive categories.</p> | |
| <h3>Method Details</h3> | |
| <div class="method"> | |
| <code class="details" id="analyzeEntities">analyzeEntities(body=None, x__xgafv=None)</code> | |
| <pre>Finds named entities (currently proper names and common nouns) in the text along with entity types, probability, mentions for each entity, and other properties. | |
| Args: | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The entity analysis request message. | |
| "document": { # Represents the input to API methods. # Required. Input document. | |
| "content": "A String", # The content of the input in string format. Cloud audit logging exempt since it is based on user data. | |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. This URI must be of the form: gs://bucket_name/object_name. For more details, see https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage object versioning is not supported. | |
| "languageCode": "A String", # Optional. The language of the document (if not specified, the language is automatically detected). Both ISO and BCP-47 language codes are accepted. [Language Support](https://cloud.google.com/natural-language/docs/languages) lists currently supported languages for each API method. If the language (either specified by the caller or automatically detected) is not supported by the called API method, an `INVALID_ARGUMENT` error is returned. | |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an `INVALID_ARGUMENT` error. | |
| }, | |
| "encodingType": "A String", # The encoding type used by the API to calculate offsets. | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The entity analysis response message. | |
| "entities": [ # The recognized entities in the input document. | |
| { # 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 probability and mentions, with entities. | |
| "mentions": [ # The mentions of this entity in the input document. The API currently supports proper noun mentions. | |
| { # Represents a mention for an entity in the text. Currently, proper noun mentions are supported. | |
| "probability": 3.14, # Probability score associated with the entity. The score shows the probability of the entity mention being the entity type. The score is in (0, 1] range. | |
| "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment this field will contain the sentiment expressed for this mention of the entity in the provided document. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "text": { # Represents a text span in the input document. # The mention text. | |
| "beginOffset": 42, # The API calculates the beginning offset of the content in the original document according to the EncodingType specified in the API request. | |
| "content": "A String", # The content of the text span, which is a substring of the document. | |
| }, | |
| "type": "A String", # The type of the entity mention. | |
| }, | |
| ], | |
| "metadata": { # Metadata associated with the entity. For the metadata associated with other entity types, see the Type table below. | |
| "a_key": "A String", | |
| }, | |
| "name": "A String", # The representative name for the entity. | |
| "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment this field will contain the aggregate sentiment expressed for this entity in the provided document. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "type": "A String", # The entity type. | |
| }, | |
| ], | |
| "languageCode": "A String", # The language of the text, which will be the same as the language specified in the request or, if not specified, the automatically-detected language. See Document.language_code field for more details. | |
| "languageSupported": True or False, # Whether the language is officially supported. The API may still return a response when the language is not supported, but it is on a best effort basis. | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="analyzeSentiment">analyzeSentiment(body=None, x__xgafv=None)</code> | |
| <pre>Analyzes the sentiment of the provided text. | |
| Args: | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The sentiment analysis request message. | |
| "document": { # Represents the input to API methods. # Required. Input document. | |
| "content": "A String", # The content of the input in string format. Cloud audit logging exempt since it is based on user data. | |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. This URI must be of the form: gs://bucket_name/object_name. For more details, see https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage object versioning is not supported. | |
| "languageCode": "A String", # Optional. The language of the document (if not specified, the language is automatically detected). Both ISO and BCP-47 language codes are accepted. [Language Support](https://cloud.google.com/natural-language/docs/languages) lists currently supported languages for each API method. If the language (either specified by the caller or automatically detected) is not supported by the called API method, an `INVALID_ARGUMENT` error is returned. | |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an `INVALID_ARGUMENT` error. | |
| }, | |
| "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets. | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The sentiment analysis response message. | |
| "documentSentiment": { # Represents the feeling associated with the entire text or entities in the text. # The overall sentiment of the input document. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "languageCode": "A String", # The language of the text, which will be the same as the language specified in the request or, if not specified, the automatically-detected language. See Document.language_code field for more details. | |
| "languageSupported": True or False, # Whether the language is officially supported. The API may still return a response when the language is not supported, but it is on a best effort basis. | |
| "sentences": [ # The sentiment for all the sentences in the document. | |
| { # Represents a sentence in the input document. | |
| "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeSentiment or if AnnotateTextRequest.Features.extract_document_sentiment is set to true, this field will contain the sentiment for the sentence. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "text": { # Represents a text span in the input document. # The sentence text. | |
| "beginOffset": 42, # The API calculates the beginning offset of the content in the original document according to the EncodingType specified in the API request. | |
| "content": "A String", # The content of the text span, which is a substring of the document. | |
| }, | |
| }, | |
| ], | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="annotateText">annotateText(body=None, x__xgafv=None)</code> | |
| <pre>A convenience method that provides all features in one call. | |
| Args: | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The request message for the text annotation API, which can perform multiple analysis types in one call. | |
| "document": { # Represents the input to API methods. # Required. Input document. | |
| "content": "A String", # The content of the input in string format. Cloud audit logging exempt since it is based on user data. | |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. This URI must be of the form: gs://bucket_name/object_name. For more details, see https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage object versioning is not supported. | |
| "languageCode": "A String", # Optional. The language of the document (if not specified, the language is automatically detected). Both ISO and BCP-47 language codes are accepted. [Language Support](https://cloud.google.com/natural-language/docs/languages) lists currently supported languages for each API method. If the language (either specified by the caller or automatically detected) is not supported by the called API method, an `INVALID_ARGUMENT` error is returned. | |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an `INVALID_ARGUMENT` error. | |
| }, | |
| "encodingType": "A String", # The encoding type used by the API to calculate offsets. | |
| "features": { # All available features. Setting each one to true will enable that specific analysis for the input. # Required. The enabled features. | |
| "classifyText": True or False, # Optional. Classify the full document into categories. | |
| "extractDocumentSentiment": True or False, # Optional. Extract document-level sentiment. | |
| "extractEntities": True or False, # Optional. Extract entities. | |
| "moderateText": True or False, # Optional. Moderate the document for harmful and sensitive categories. | |
| }, | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The text annotations response message. | |
| "categories": [ # Categories identified in the input document. | |
| { # Represents a category returned from the text classifier. | |
| "confidence": 3.14, # The classifier's confidence of the category. Number represents how certain the classifier is that this category represents the given text. | |
| "name": "A String", # The name of the category representing the document. | |
| "severity": 3.14, # Optional. The classifier's severity of the category. This is only present when the ModerateTextRequest.ModelVersion is set to MODEL_VERSION_2, and the corresponding category has a severity score. | |
| }, | |
| ], | |
| "documentSentiment": { # Represents the feeling associated with the entire text or entities in the text. # The overall sentiment for the document. Populated if the user enables AnnotateTextRequest.Features.extract_document_sentiment. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "entities": [ # Entities, along with their semantic information, in the input document. Populated if the user enables AnnotateTextRequest.Features.extract_entities . | |
| { # 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 probability and mentions, with entities. | |
| "mentions": [ # The mentions of this entity in the input document. The API currently supports proper noun mentions. | |
| { # Represents a mention for an entity in the text. Currently, proper noun mentions are supported. | |
| "probability": 3.14, # Probability score associated with the entity. The score shows the probability of the entity mention being the entity type. The score is in (0, 1] range. | |
| "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment this field will contain the sentiment expressed for this mention of the entity in the provided document. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "text": { # Represents a text span in the input document. # The mention text. | |
| "beginOffset": 42, # The API calculates the beginning offset of the content in the original document according to the EncodingType specified in the API request. | |
| "content": "A String", # The content of the text span, which is a substring of the document. | |
| }, | |
| "type": "A String", # The type of the entity mention. | |
| }, | |
| ], | |
| "metadata": { # Metadata associated with the entity. For the metadata associated with other entity types, see the Type table below. | |
| "a_key": "A String", | |
| }, | |
| "name": "A String", # The representative name for the entity. | |
| "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment this field will contain the aggregate sentiment expressed for this entity in the provided document. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "type": "A String", # The entity type. | |
| }, | |
| ], | |
| "languageCode": "A String", # The language of the text, which will be the same as the language specified in the request or, if not specified, the automatically-detected language. See Document.language_code field for more details. | |
| "languageSupported": True or False, # Whether the language is officially supported by all requested features. The API may still return a response when the language is not supported, but it is on a best effort basis. | |
| "moderationCategories": [ # Harmful and sensitive categories identified in the input document. | |
| { # Represents a category returned from the text classifier. | |
| "confidence": 3.14, # The classifier's confidence of the category. Number represents how certain the classifier is that this category represents the given text. | |
| "name": "A String", # The name of the category representing the document. | |
| "severity": 3.14, # Optional. The classifier's severity of the category. This is only present when the ModerateTextRequest.ModelVersion is set to MODEL_VERSION_2, and the corresponding category has a severity score. | |
| }, | |
| ], | |
| "sentences": [ # Sentences in the input document. Populated if the user enables AnnotateTextRequest.Features.extract_document_sentiment. | |
| { # Represents a sentence in the input document. | |
| "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeSentiment or if AnnotateTextRequest.Features.extract_document_sentiment is set to true, this field will contain the sentiment for the sentence. | |
| "magnitude": 3.14, # A non-negative number in the [0, +inf] range, which represents the absolute magnitude of sentiment regardless of score (positive or negative). | |
| "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). | |
| }, | |
| "text": { # Represents a text span in the input document. # The sentence text. | |
| "beginOffset": 42, # The API calculates the beginning offset of the content in the original document according to the EncodingType specified in the API request. | |
| "content": "A String", # The content of the text span, which is a substring of the document. | |
| }, | |
| }, | |
| ], | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="classifyText">classifyText(body=None, x__xgafv=None)</code> | |
| <pre>Classifies a document into categories. | |
| Args: | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The document classification request message. | |
| "document": { # Represents the input to API methods. # Required. Input document. | |
| "content": "A String", # The content of the input in string format. Cloud audit logging exempt since it is based on user data. | |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. This URI must be of the form: gs://bucket_name/object_name. For more details, see https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage object versioning is not supported. | |
| "languageCode": "A String", # Optional. The language of the document (if not specified, the language is automatically detected). Both ISO and BCP-47 language codes are accepted. [Language Support](https://cloud.google.com/natural-language/docs/languages) lists currently supported languages for each API method. If the language (either specified by the caller or automatically detected) is not supported by the called API method, an `INVALID_ARGUMENT` error is returned. | |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an `INVALID_ARGUMENT` error. | |
| }, | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The document classification response message. | |
| "categories": [ # Categories representing the input document. | |
| { # Represents a category returned from the text classifier. | |
| "confidence": 3.14, # The classifier's confidence of the category. Number represents how certain the classifier is that this category represents the given text. | |
| "name": "A String", # The name of the category representing the document. | |
| "severity": 3.14, # Optional. The classifier's severity of the category. This is only present when the ModerateTextRequest.ModelVersion is set to MODEL_VERSION_2, and the corresponding category has a severity score. | |
| }, | |
| ], | |
| "languageCode": "A String", # The language of the text, which will be the same as the language specified in the request or, if not specified, the automatically-detected language. See Document.language_code field for more details. | |
| "languageSupported": True or False, # Whether the language is officially supported. The API may still return a response when the language is not supported, but it is on a best effort basis. | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="close">close()</code> | |
| <pre>Close httplib2 connections.</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="moderateText">moderateText(body=None, x__xgafv=None)</code> | |
| <pre>Moderates a document for harmful and sensitive categories. | |
| Args: | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The document moderation request message. | |
| "document": { # Represents the input to API methods. # Required. Input document. | |
| "content": "A String", # The content of the input in string format. Cloud audit logging exempt since it is based on user data. | |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. This URI must be of the form: gs://bucket_name/object_name. For more details, see https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage object versioning is not supported. | |
| "languageCode": "A String", # Optional. The language of the document (if not specified, the language is automatically detected). Both ISO and BCP-47 language codes are accepted. [Language Support](https://cloud.google.com/natural-language/docs/languages) lists currently supported languages for each API method. If the language (either specified by the caller or automatically detected) is not supported by the called API method, an `INVALID_ARGUMENT` error is returned. | |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an `INVALID_ARGUMENT` error. | |
| }, | |
| "modelVersion": "A String", # Optional. The model version to use for ModerateText. | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The document moderation response message. | |
| "languageCode": "A String", # The language of the text, which will be the same as the language specified in the request or, if not specified, the automatically-detected language. See Document.language_code field for more details. | |
| "languageSupported": True or False, # Whether the language is officially supported. The API may still return a response when the language is not supported, but it is on a best effort basis. | |
| "moderationCategories": [ # Harmful and sensitive categories representing the input document. | |
| { # Represents a category returned from the text classifier. | |
| "confidence": 3.14, # The classifier's confidence of the category. Number represents how certain the classifier is that this category represents the given text. | |
| "name": "A String", # The name of the category representing the document. | |
| "severity": 3.14, # Optional. The classifier's severity of the category. This is only present when the ModerateTextRequest.ModelVersion is set to MODEL_VERSION_2, and the corresponding category has a severity score. | |
| }, | |
| ], | |
| }</pre> | |
| </div> | |
| </body></html> |