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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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