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| <h1><a href="language_v1beta1.html">Google Cloud Natural Language API</a> . <a href="language_v1beta1.documents.html">documents</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="#analyzeEntities">analyzeEntities(body, x__xgafv=None)</a></code></p> |
| <p class="firstline">Finds named entities (currently finds proper names) in the text,</p> |
| <p class="toc_element"> |
| <code><a href="#analyzeSentiment">analyzeSentiment(body, 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, x__xgafv=None)</a></code></p> |
| <p class="firstline">Advanced API that analyzes the document and provides a full set of text</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="analyzeEntities">analyzeEntities(body, x__xgafv=None)</code> |
| <pre>Finds named entities (currently finds proper names) in the text, |
| entity types, salience, mentions for each entity, and other properties. |
| |
| Args: |
| body: object, The request body. (required) |
| The object takes the form of: |
| |
| { # The entity analysis request message. |
| "document": { # ################################################################ # # Input document. |
| # |
| # Represents the input to API methods. |
| "content": "A String", # The content of the input in string format. |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, |
| # returns an `INVALID_ARGUMENT` error. |
| "language": "A String", # The language of the document (if not specified, the language is |
| # automatically detected). Both ISO and BCP-47 language codes are |
| # accepted.<br> |
| # **Current Language Restrictions:** |
| # |
| # * Only English, Spanish, and Japanese textual content |
| # are supported, with the following additional restriction: |
| # * `analyzeSentiment` only supports English text. |
| # 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. |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. |
| }, |
| "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 salience and mentions, with entities. |
| "type": "A String", # The entity type. |
| "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. |
| "text": { # Represents an output piece of text. # The mention text. |
| "content": "A String", # The content of the output 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. |
| }, |
| }, |
| ], |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. |
| # |
| # The salience score for an entity provides information about the |
| # importance or centrality of that entity to the entire document text. |
| # Scores closer to 0 are less salient, while scores closer to 1.0 are highly |
| # salient. |
| "name": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. |
| # |
| # Currently, only Wikipedia URLs are provided, if available. |
| # The associated key is "wikipedia_url". |
| "a_key": "A String", |
| }, |
| }, |
| ], |
| "language": "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. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="analyzeSentiment">analyzeSentiment(body, x__xgafv=None)</code> |
| <pre>Analyzes the sentiment of the provided text. |
| |
| Args: |
| body: object, The request body. (required) |
| The object takes the form of: |
| |
| { # The sentiment analysis request message. |
| "document": { # ################################################################ # # Input document. Currently, `analyzeSentiment` only supports English text |
| # (Document.language="EN"). |
| # |
| # Represents the input to API methods. |
| "content": "A String", # The content of the input in string format. |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, |
| # returns an `INVALID_ARGUMENT` error. |
| "language": "A String", # The language of the document (if not specified, the language is |
| # automatically detected). Both ISO and BCP-47 language codes are |
| # accepted.<br> |
| # **Current Language Restrictions:** |
| # |
| # * Only English, Spanish, and Japanese textual content |
| # are supported, with the following additional restriction: |
| # * `analyzeSentiment` only supports English text. |
| # 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. |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. |
| }, |
| } |
| |
| 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 overall sentiment of the input document. |
| # the text. |
| "polarity": 3.14, # Polarity of the sentiment in the [-1.0, 1.0] range. Larger numbers |
| # represent more positive sentiments. |
| "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents |
| # the absolute magnitude of sentiment regardless of polarity (positive or |
| # negative). |
| }, |
| "language": "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. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="annotateText">annotateText(body, x__xgafv=None)</code> |
| <pre>Advanced API that analyzes the document and provides a full set of text |
| annotations, including semantic, syntactic, and sentiment information. This |
| API is intended for users who are familiar with machine learning and need |
| in-depth text features to build upon. |
| |
| Args: |
| body: object, The request body. (required) |
| The object takes the form of: |
| |
| { # The request message for the advanced text annotation API, which performs all |
| # the above plus syntactic analysis. |
| "document": { # ################################################################ # # Input document. |
| # |
| # Represents the input to API methods. |
| "content": "A String", # The content of the input in string format. |
| "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, |
| # returns an `INVALID_ARGUMENT` error. |
| "language": "A String", # The language of the document (if not specified, the language is |
| # automatically detected). Both ISO and BCP-47 language codes are |
| # accepted.<br> |
| # **Current Language Restrictions:** |
| # |
| # * Only English, Spanish, and Japanese textual content |
| # are supported, with the following additional restriction: |
| # * `analyzeSentiment` only supports English text. |
| # 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. |
| "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. |
| }, |
| "encodingType": "A String", # The encoding type used by the API to calculate offsets. |
| "features": { # All available features for sentiment, syntax, and semantic analysis. # The enabled features. |
| # Setting each one to true will enable that specific analysis for the input. |
| "extractSyntax": True or False, # Extract syntax information. |
| "extractEntities": True or False, # Extract entities. |
| "extractDocumentSentiment": True or False, # Extract document-level sentiment. |
| }, |
| } |
| |
| 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. |
| "tokens": [ # Tokens, along with their syntactic information, in the input document. |
| # Populated if the user enables |
| # AnnotateTextRequest.Features.extract_syntax. |
| { # Represents the smallest syntactic building block of the text. |
| "text": { # Represents an output piece of text. # The token text. |
| "content": "A String", # The content of the output 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. |
| }, |
| "dependencyEdge": { # Represents dependency parse tree information for a token. # Dependency tree parse for this token. |
| "headTokenIndex": 42, # Represents the head of this token in the dependency tree. |
| # This is the index of the token which has an arc going to this token. |
| # The index is the position of the token in the array of tokens returned |
| # by the API method. If this token is a root token, then the |
| # `head_token_index` is its own index. |
| "label": "A String", # The parse label for the token. |
| }, |
| "partOfSpeech": { # Represents part of speech information for a token. # Parts of speech tag for this token. |
| "tag": "A String", # The part of speech tag. |
| }, |
| "lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_(morphology)) |
| # of the token. |
| }, |
| ], |
| "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 salience and mentions, with entities. |
| "type": "A String", # The entity type. |
| "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. |
| "text": { # Represents an output piece of text. # The mention text. |
| "content": "A String", # The content of the output 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. |
| }, |
| }, |
| ], |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. |
| # |
| # The salience score for an entity provides information about the |
| # importance or centrality of that entity to the entire document text. |
| # Scores closer to 0 are less salient, while scores closer to 1.0 are highly |
| # salient. |
| "name": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. |
| # |
| # Currently, only Wikipedia URLs are provided, if available. |
| # The associated key is "wikipedia_url". |
| "a_key": "A String", |
| }, |
| }, |
| ], |
| "documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment for the document. Populated if the user enables |
| # AnnotateTextRequest.Features.extract_document_sentiment. |
| # the text. |
| "polarity": 3.14, # Polarity of the sentiment in the [-1.0, 1.0] range. Larger numbers |
| # represent more positive sentiments. |
| "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents |
| # the absolute magnitude of sentiment regardless of polarity (positive or |
| # negative). |
| }, |
| "language": "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. |
| "sentences": [ # Sentences in the input document. Populated if the user enables |
| # AnnotateTextRequest.Features.extract_syntax. |
| { # Represents a sentence in the input document. |
| "text": { # Represents an output piece of text. # The sentence text. |
| "content": "A String", # The content of the output 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. |
| }, |
| }, |
| ], |
| }</pre> |
| </div> |
| |
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