docs: update generated docs (#1053)
Updates for both discovery docs and epydoc API Documentation
Fixes: #1049
diff --git a/docs/dyn/language_v1.documents.html b/docs/dyn/language_v1.documents.html
index 9192397..108c05b 100644
--- a/docs/dyn/language_v1.documents.html
+++ b/docs/dyn/language_v1.documents.html
@@ -76,55 +76,42 @@
<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</p>
+<p class="firstline">Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.</p>
<p class="toc_element">
<code><a href="#analyzeEntitySentiment">analyzeEntitySentiment(body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Finds entities, similar to AnalyzeEntities in the text and analyzes</p>
+<p class="firstline">Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.</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="#analyzeSyntax">analyzeSyntax(body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Analyzes the syntax of the text and provides sentence boundaries and</p>
+<p class="firstline">Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.</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 the features that analyzeSentiment,</p>
+<p class="firstline">A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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>
<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, salience, mentions for each entity, and
-other properties.
+ <pre>Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.
Args:
body: object, The request body.
The object takes the form of:
{ # The entity analysis request message.
- "encodingType": "A String", # The encoding type used by the API to calculate offsets.
- "document": { # ################################################################ # # Required. Input document.
- #
- # Represents the input to API methods.
- "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.
- "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>
- # [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.
- "content": "A String", # The content of the input in string format.
- # Cloud audit logging exempt since it is based on user data.
- "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
- # returns an `INVALID_ARGUMENT` error.
+ "document": { # ################################################################ # Represents the input to API methods. # Required. Input document.
+ "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. [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.
+ "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.
},
+ "encodingType": "A String", # The encoding type used by the API to calculate offsets.
}
x__xgafv: string, V1 error format.
@@ -136,62 +123,32 @@
An object of the form:
{ # The entity analysis response message.
- "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.
- # See Document.language field for more details.
+ "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. See Document.language field for more details.
"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.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if
- # AnnotateTextRequest.Features.extract_entity_sentiment is set to
- # true, this field will contain the aggregate sentiment expressed for this
- # entity in the provided document.
- # the text.
- "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).
- },
- "name": "A String", # The representative name for the entity.
- "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.
- "metadata": { # Metadata associated with the entity.
- #
- # For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`)
- # and Knowledge Graph MID (`mid`), if they are available. For the metadata
- # associated with other entity types, see the Type table below.
- "a_key": "A String",
- },
+ { # 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.
+ "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.
+ "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.
- "beginOffset": 42, # The API calculates the beginning offset of the content in the original
- # document according to the EncodingType specified in the API request.
+ "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 output text.
},
- "type": "A String", # The type of the entity mention.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if
- # AnnotateTextRequest.Features.extract_entity_sentiment is set to
- # true, this field will contain the sentiment expressed for this mention of
- # the entity in the provided document.
- # the text.
- "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).
+ "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment or if AnnotateTextRequest.Features.extract_entity_sentiment is set to true, 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).
},
+ "type": "A String", # The type of the entity mention.
},
],
+ "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 or if AnnotateTextRequest.Features.extract_entity_sentiment is set to true, 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).
+ },
+ "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.
+ "a_key": "A String",
+ },
},
],
}</pre>
@@ -199,35 +156,20 @@
<div class="method">
<code class="details" id="analyzeEntitySentiment">analyzeEntitySentiment(body=None, x__xgafv=None)</code>
- <pre>Finds entities, similar to AnalyzeEntities in the text and analyzes
-sentiment associated with each entity and its mentions.
+ <pre>Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
Args:
body: object, The request body.
The object takes the form of:
{ # The entity-level sentiment analysis request message.
- "encodingType": "A String", # The encoding type used by the API to calculate offsets.
- "document": { # ################################################################ # # Required. Input document.
- #
- # Represents the input to API methods.
- "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.
- "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>
- # [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.
- "content": "A String", # The content of the input in string format.
- # Cloud audit logging exempt since it is based on user data.
- "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
- # returns an `INVALID_ARGUMENT` error.
+ "document": { # ################################################################ # Represents the input to API methods. # Required. Input document.
+ "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. [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.
+ "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.
},
+ "encodingType": "A String", # The encoding type used by the API to calculate offsets.
}
x__xgafv: string, V1 error format.
@@ -239,64 +181,34 @@
An object of the form:
{ # The entity-level sentiment analysis response message.
- "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.
- # See Document.language field for more details.
"entities": [ # The recognized entities in the input document with associated sentiments.
- { # 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.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if
- # AnnotateTextRequest.Features.extract_entity_sentiment is set to
- # true, this field will contain the aggregate sentiment expressed for this
- # entity in the provided document.
- # the text.
- "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).
- },
- "name": "A String", # The representative name for the entity.
- "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.
- "metadata": { # Metadata associated with the entity.
- #
- # For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`)
- # and Knowledge Graph MID (`mid`), if they are available. For the metadata
- # associated with other entity types, see the Type table below.
- "a_key": "A String",
- },
+ { # 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.
+ "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.
+ "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.
- "beginOffset": 42, # The API calculates the beginning offset of the content in the original
- # document according to the EncodingType specified in the API request.
+ "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 output text.
},
- "type": "A String", # The type of the entity mention.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if
- # AnnotateTextRequest.Features.extract_entity_sentiment is set to
- # true, this field will contain the sentiment expressed for this mention of
- # the entity in the provided document.
- # the text.
- "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).
+ "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment or if AnnotateTextRequest.Features.extract_entity_sentiment is set to true, 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).
},
+ "type": "A String", # The type of the entity mention.
},
],
+ "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 or if AnnotateTextRequest.Features.extract_entity_sentiment is set to true, 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).
+ },
+ "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.
+ "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. See Document.language field for more details.
}</pre>
</div>
@@ -309,27 +221,13 @@
The object takes the form of:
{ # The sentiment analysis request message.
- "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets.
- "document": { # ################################################################ # # Required. Input document.
- #
- # Represents the input to API methods.
- "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.
- "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>
- # [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.
- "content": "A String", # The content of the input in string format.
- # Cloud audit logging exempt since it is based on user data.
- "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
- # returns an `INVALID_ARGUMENT` error.
+ "document": { # ################################################################ # Represents the input to API methods. # Required. Input document.
+ "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. [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.
+ "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.
},
+ "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets.
}
x__xgafv: string, V1 error format.
@@ -341,71 +239,42 @@
An object of the form:
{ # The sentiment analysis response message.
+ "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. See Document.language field for more details.
"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 # For calls to AnalyzeSentiment or if
- # AnnotateTextRequest.Features.extract_document_sentiment is set to
- # true, this field will contain the sentiment for the sentence.
- # the text.
- "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 an output piece of text. # 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.
+ "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 output text.
},
+ "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).
+ },
},
],
- "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.
- # See Document.language field for more details.
- "documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment of the input document.
- # the text.
- "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).
+ "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).
},
}</pre>
</div>
<div class="method">
<code class="details" id="analyzeSyntax">analyzeSyntax(body=None, x__xgafv=None)</code>
- <pre>Analyzes the syntax of the text and provides sentence boundaries and
-tokenization along with part of speech tags, dependency trees, and other
-properties.
+ <pre>Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
Args:
body: object, The request body.
The object takes the form of:
{ # The syntax analysis request message.
- "encodingType": "A String", # The encoding type used by the API to calculate offsets.
- "document": { # ################################################################ # # Required. Input document.
- #
- # Represents the input to API methods.
- "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.
- "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>
- # [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.
- "content": "A String", # The content of the input in string format.
- # Cloud audit logging exempt since it is based on user data.
- "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
- # returns an `INVALID_ARGUMENT` error.
+ "document": { # ################################################################ # Represents the input to API methods. # Required. Input document.
+ "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. [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.
+ "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.
},
+ "encodingType": "A String", # The encoding type used by the API to calculate offsets.
}
x__xgafv: string, V1 error format.
@@ -419,104 +288,69 @@
{ # The syntax analysis response message.
"tokens": [ # Tokens, along with their syntactic information, in the input document.
{ # Represents the smallest syntactic building block of the text.
- "partOfSpeech": { # Represents part of speech information for a token. Parts of speech # Parts of speech tag for this token.
- # are as defined in
- # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
- "tag": "A String", # The part of speech tag.
- "reciprocity": "A String", # The grammatical reciprocity.
- "voice": "A String", # The grammatical voice.
- "person": "A String", # The grammatical person.
- "tense": "A String", # The grammatical tense.
- "proper": "A String", # The grammatical properness.
- "gender": "A String", # The grammatical gender.
- "form": "A String", # The grammatical form.
- "aspect": "A String", # The grammatical aspect.
- "case": "A String", # The grammatical case.
- "mood": "A String", # The grammatical mood.
- "number": "A String", # The grammatical number.
- },
"text": { # Represents an output piece of text. # The token 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.
+ "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 output text.
},
- "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
- # information on dependency labels, see
- # http://www.aclweb.org/anthology/P13-2017
- "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 are as defined in http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf # Parts of speech tag for this token.
+ "aspect": "A String", # The grammatical aspect.
+ "person": "A String", # The grammatical person.
+ "gender": "A String", # The grammatical gender.
+ "number": "A String", # The grammatical number.
+ "form": "A String", # The grammatical form.
+ "proper": "A String", # The grammatical properness.
+ "case": "A String", # The grammatical case.
+ "voice": "A String", # The grammatical voice.
+ "mood": "A String", # The grammatical mood.
+ "tense": "A String", # The grammatical tense.
+ "reciprocity": "A String", # The grammatical reciprocity.
+ "tag": "A String", # The part of speech tag.
},
"lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
+ "dependencyEdge": { # Represents dependency parse tree information for a token. (For more information on dependency labels, see http://www.aclweb.org/anthology/P13-2017 # Dependency tree parse for this token.
+ "label": "A String", # The parse label for the 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.
+ },
},
],
"sentences": [ # Sentences in the input document.
{ # Represents a sentence in the input document.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if
- # AnnotateTextRequest.Features.extract_document_sentiment is set to
- # true, this field will contain the sentiment for the sentence.
- # the text.
- "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 an output piece of text. # 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.
+ "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 output text.
},
+ "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).
+ },
},
],
- "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.
- # See Document.language field for more details.
+ "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. See Document.language field for more details.
}</pre>
</div>
<div class="method">
<code class="details" id="annotateText">annotateText(body=None, x__xgafv=None)</code>
- <pre>A convenience method that provides all the features that analyzeSentiment,
-analyzeEntities, and analyzeSyntax provide in one call.
+ <pre>A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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 (sentiment, entities, and syntax) in one call.
- "document": { # ################################################################ # # Required. Input document.
- #
- # Represents the input to API methods.
- "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.
- "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>
- # [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.
- "content": "A String", # The content of the input in string format.
- # Cloud audit logging exempt since it is based on user data.
- "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
- # returns an `INVALID_ARGUMENT` error.
- },
+{ # The request message for the text annotation API, which can perform multiple analysis types (sentiment, entities, and syntax) in one call.
"encodingType": "A String", # The encoding type used by the API to calculate offsets.
- "features": { # All available features for sentiment, syntax, and semantic analysis. # Required. The enabled features.
- # Setting each one to true will enable that specific analysis for the input.
- "extractEntitySentiment": True or False, # Extract entities and their associated sentiment.
+ "features": { # All available features for sentiment, syntax, and semantic analysis. Setting each one to true will enable that specific analysis for the input. # Required. The enabled features.
"extractEntities": True or False, # Extract entities.
"extractSyntax": True or False, # Extract syntax information.
- "extractDocumentSentiment": True or False, # Extract document-level sentiment.
+ "extractEntitySentiment": True or False, # Extract entities and their associated sentiment.
"classifyText": True or False, # Classify the full document into categories.
+ "extractDocumentSentiment": True or False, # Extract document-level sentiment.
+ },
+ "document": { # ################################################################ # Represents the input to API methods. # Required. Input document.
+ "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. [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.
+ "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.
},
}
@@ -529,139 +363,81 @@
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, from the [predefined
- # taxonomy](https://cloud.google.com/natural-language/docs/categories).
- },
- ],
- "tokens": [ # Tokens, along with their syntactic information, in the input document.
- # Populated if the user enables
- # AnnotateTextRequest.Features.extract_syntax.
+ "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.
- "partOfSpeech": { # Represents part of speech information for a token. Parts of speech # Parts of speech tag for this token.
- # are as defined in
- # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
- "tag": "A String", # The part of speech tag.
- "reciprocity": "A String", # The grammatical reciprocity.
- "voice": "A String", # The grammatical voice.
- "person": "A String", # The grammatical person.
- "tense": "A String", # The grammatical tense.
- "proper": "A String", # The grammatical properness.
- "gender": "A String", # The grammatical gender.
- "form": "A String", # The grammatical form.
- "aspect": "A String", # The grammatical aspect.
- "case": "A String", # The grammatical case.
- "mood": "A String", # The grammatical mood.
- "number": "A String", # The grammatical number.
- },
"text": { # Represents an output piece of text. # The token 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.
+ "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 output text.
},
- "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
- # information on dependency labels, see
- # http://www.aclweb.org/anthology/P13-2017
- "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 are as defined in http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf # Parts of speech tag for this token.
+ "aspect": "A String", # The grammatical aspect.
+ "person": "A String", # The grammatical person.
+ "gender": "A String", # The grammatical gender.
+ "number": "A String", # The grammatical number.
+ "form": "A String", # The grammatical form.
+ "proper": "A String", # The grammatical properness.
+ "case": "A String", # The grammatical case.
+ "voice": "A String", # The grammatical voice.
+ "mood": "A String", # The grammatical mood.
+ "tense": "A String", # The grammatical tense.
+ "reciprocity": "A String", # The grammatical reciprocity.
+ "tag": "A String", # The part of speech tag.
},
"lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
+ "dependencyEdge": { # Represents dependency parse tree information for a token. (For more information on dependency labels, see http://www.aclweb.org/anthology/P13-2017 # Dependency tree parse for this token.
+ "label": "A String", # The parse label for the 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.
+ },
},
],
- "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.
- # See Document.language field for more details.
- "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.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if
- # AnnotateTextRequest.Features.extract_entity_sentiment is set to
- # true, this field will contain the aggregate sentiment expressed for this
- # entity in the provided document.
- # the text.
- "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).
- },
- "name": "A String", # The representative name for the entity.
- "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.
- "metadata": { # Metadata associated with the entity.
- #
- # For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`)
- # and Knowledge Graph MID (`mid`), if they are available. For the metadata
- # associated with other entity types, see the Type table below.
- "a_key": "A String",
- },
+ "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, from the [predefined taxonomy](https://cloud.google.com/natural-language/docs/categories).
+ },
+ ],
+ "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.
+ "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.
+ "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.
- "beginOffset": 42, # The API calculates the beginning offset of the content in the original
- # document according to the EncodingType specified in the API request.
+ "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 output text.
},
- "type": "A String", # The type of the entity mention.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if
- # AnnotateTextRequest.Features.extract_entity_sentiment is set to
- # true, this field will contain the sentiment expressed for this mention of
- # the entity in the provided document.
- # the text.
- "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).
+ "sentiment": { # Represents the feeling associated with the entire text or entities in the text. # For calls to AnalyzeEntitySentiment or if AnnotateTextRequest.Features.extract_entity_sentiment is set to true, 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).
},
+ "type": "A String", # The type of the entity mention.
},
],
+ "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 or if AnnotateTextRequest.Features.extract_entity_sentiment is set to true, 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).
+ },
+ "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below.
+ "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.
- "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).
+ "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. See Document.language field for more details.
+ "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).
},
- "sentences": [ # Sentences in the input document. Populated if the user enables
- # AnnotateTextRequest.Features.extract_syntax.
+ "sentences": [ # Sentences in the input document. Populated if the user enables AnnotateTextRequest.Features.extract_syntax.
{ # Represents a sentence in the input document.
- "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if
- # AnnotateTextRequest.Features.extract_document_sentiment is set to
- # true, this field will contain the sentiment for the sentence.
- # the text.
- "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 an output piece of text. # 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.
+ "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 output text.
},
+ "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).
+ },
},
],
}</pre>
@@ -676,25 +452,11 @@
The object takes the form of:
{ # The document classification request message.
- "document": { # ################################################################ # # Required. Input document.
- #
- # Represents the input to API methods.
- "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.
- "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>
- # [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.
- "content": "A String", # The content of the input in string format.
- # Cloud audit logging exempt since it is based on user data.
- "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
- # returns an `INVALID_ARGUMENT` error.
+ "document": { # ################################################################ # Represents the input to API methods. # Required. Input document.
+ "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. [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.
+ "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.
},
}
@@ -709,13 +471,16 @@
{ # 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, from the [predefined
- # taxonomy](https://cloud.google.com/natural-language/docs/categories).
+ "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, from the [predefined taxonomy](https://cloud.google.com/natural-language/docs/categories).
},
],
}</pre>
</div>
+<div class="method">
+ <code class="details" id="close">close()</code>
+ <pre>Close httplib2 connections.</pre>
+</div>
+
</body></html>
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