Blame - docs/dyn/language_v1beta1.documents.html - platform/external/python/google-api-python-client

"documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment for the document. Populated if the user enables

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# AnnotateTextRequest.Features.extract_document_sentiment.

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# the text.

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"polarity": 3.14, # DEPRECATED FIELD - This field is being deprecated in

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# favor of score. Please refer to our documentation at

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# https://cloud.google.com/natural-language/docs for more information.

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"score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0

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# (positive sentiment).

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"magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents

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# the absolute magnitude of sentiment regardless of score (positive or

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# negative).

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},

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"language": "A String", # The language of the text, which will be the same as the language specified

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# in the request or, if not specified, the automatically-detected language.

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# See Document.language field for more details.

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"sentences": [ # Sentences in the input document. Populated if the user enables

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# AnnotateTextRequest.Features.extract_syntax.

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{ # Represents a sentence in the input document.

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"text": { # Represents an output piece of text. # The sentence text.

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"beginOffset": 42, # The API calculates the beginning offset of the content in the original

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# document according to the EncodingType specified in the API request.

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"content": "A String", # The content of the output text.

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},

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"sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if

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# AnnotateTextRequest.Features.extract_document_sentiment is set to

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# true, this field will contain the sentiment for the sentence.

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# the text.

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"polarity": 3.14, # DEPRECATED FIELD - This field is being deprecated in

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# favor of score. Please refer to our documentation at

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# https://cloud.google.com/natural-language/docs for more information.

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"score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0

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# (positive sentiment).

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"magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents

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# the absolute magnitude of sentiment regardless of score (positive or

# negative).

},

},

],

"tokens": [ # Tokens, along with their syntactic information, in the input document.

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# Populated if the user enables

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# AnnotateTextRequest.Features.extract_syntax.

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{ # Represents the smallest syntactic building block of the text.

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"text": { # Represents an output piece of text. # The token text.

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"beginOffset": 42, # The API calculates the beginning offset of the content in the original

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# document according to the EncodingType specified in the API request.

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"content": "A String", # The content of the output text.

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},

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"dependencyEdge": { # Represents dependency parse tree information for a token. # Dependency tree parse for this token.

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"headTokenIndex": 42, # Represents the head of this token in the dependency tree.

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# This is the index of the token which has an arc going to this token.

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# The index is the position of the token in the array of tokens returned

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# by the API method. If this token is a root token, then the

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# `head_token_index` is its own index.

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"label": "A String", # The parse label for the token.

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},

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"lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.

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"partOfSpeech": { # Represents part of speech information for a token. # Parts of speech tag for this token.

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"proper": "A String", # The grammatical properness.

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"case": "A String", # The grammatical case.

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"tense": "A String", # The grammatical tense.

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"reciprocity": "A String", # The grammatical reciprocity.

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"form": "A String", # The grammatical form.

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"number": "A String", # The grammatical number.

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"voice": "A String", # The grammatical voice.

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"aspect": "A String", # The grammatical aspect.

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"mood": "A String", # The grammatical mood.

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"tag": "A String", # The part of speech tag.

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"gender": "A String", # The grammatical gender.

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"person": "A String", # The grammatical person.

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},

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},

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],

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"entities": [ # Entities, along with their semantic information, in the input document.

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# Populated if the user enables

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# AnnotateTextRequest.Features.extract_entities.

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{ # Represents a phrase in the text that is a known entity, such as

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# a person, an organization, or location. The API associates information, such

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# as salience and mentions, with entities.

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"type": "A String", # The entity type.

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"metadata": { # Metadata associated with the entity.

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#

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# Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if

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# available. The associated keys are "wikipedia_url" and "mid", respectively.

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"a_key": "A String",

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},

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"salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.

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#

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# The salience score for an entity provides information about the

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# importance or centrality of that entity to the entire document text.

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# Scores closer to 0 are less salient, while scores closer to 1.0 are highly

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# salient.

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"mentions": [ # The mentions of this entity in the input document. The API currently

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# supports proper noun mentions.

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{ # Represents a mention for an entity in the text. Currently, proper noun

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# mentions are supported.

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"text": { # Represents an output piece of text. # The mention text.

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"beginOffset": 42, # The API calculates the beginning offset of the content in the original

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# document according to the EncodingType specified in the API request.

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"content": "A String", # The content of the output text.

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},

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"type": "A String", # The type of the entity mention.

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},

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],

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"name": "A String", # The representative name for the entity.

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},

],

}</pre>

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