Class LanguageServiceClient (1.3.2)

LanguageServiceClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Provides text analysis operations such as sentiment analysis and entity recognition.

Methods

LanguageServiceClient

LanguageServiceClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters
Name	Description
`channel`	`grpc.Channel` DEPRECATED. A `Channel` instance through which to make calls. This argument is mutually exclusive with `credentials`; providing both will raise an exception.
`credentials`	`google.auth.credentials.Credentials` The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to `transport`; doing so will raise an exception.
`client_config`	`dict` DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.
`client_options`	`Union[dict, google.api_core.client_options.ClientOptions]` Client options used to set user options on the client. API Endpoint should be set through client_options.

analyze_entities

analyze_entities(document, encoding_type=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

.. rubric:: Example

from google.cloud import language_v1

client = language_v1.LanguageServiceClient()

TODO: Initialize document:

document = {}

response = client.analyze_entities(document)

Parameters
Name	Description
`document`	`Union[dict, Document]` Input document. If a dict is provided, it must be of the same form as the protobuf message Document
`encoding_type`	`EncodingType` The encoding type used by the API to calculate offsets.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

analyze_entity_sentiment

analyze_entity_sentiment(document, encoding_type=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.

.. rubric:: Example

from google.cloud import language_v1

client = language_v1.LanguageServiceClient()

TODO: Initialize document:

document = {}

response = client.analyze_entity_sentiment(document)

Parameters
Name	Description
`document`	`Union[dict, Document]` Input document. If a dict is provided, it must be of the same form as the protobuf message Document
`encoding_type`	`EncodingType` The encoding type used by the API to calculate offsets.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

analyze_sentiment

analyze_sentiment(document, encoding_type=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Analyzes the sentiment of the provided text.

.. rubric:: Example

from google.cloud import language_v1

client = language_v1.LanguageServiceClient()

TODO: Initialize document:

document = {}

response = client.analyze_sentiment(document)

Parameters
Name	Description
`document`	`Union[dict, Document]` Input document. If a dict is provided, it must be of the same form as the protobuf message Document
`encoding_type`	`EncodingType` The encoding type used by the API to calculate sentence offsets.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

analyze_syntax

analyze_syntax(document, encoding_type=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

.. rubric:: Example

from google.cloud import language_v1

client = language_v1.LanguageServiceClient()

TODO: Initialize document:

document = {}

response = client.analyze_syntax(document)

Parameters
Name	Description
`document`	`Union[dict, Document]` Input document. If a dict is provided, it must be of the same form as the protobuf message Document
`encoding_type`	`EncodingType` The encoding type used by the API to calculate offsets.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

annotate_text

annotate_text(document, features, encoding_type=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.

.. rubric:: Example

from google.cloud import language_v1

client = language_v1.LanguageServiceClient()

TODO: Initialize document:

document = {}

TODO: Initialize features:

features = {}

response = client.annotate_text(document, features)

Parameters
Name	Description
`document`	`Union[dict, Document]` Input document. If a dict is provided, it must be of the same form as the protobuf message Document
`features`	`Union[dict, Features]` The enabled features. If a dict is provided, it must be of the same form as the protobuf message Features
`encoding_type`	`EncodingType` The encoding type used by the API to calculate offsets.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

classify_text

classify_text(document, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Classifies a document into categories.

.. rubric:: Example

from google.cloud import language_v1

client = language_v1.LanguageServiceClient()

TODO: Initialize document:

document = {}

response = client.classify_text(document)

Parameters
Name	Description
`document`	`Union[dict, Document]` Input document. If a dict is provided, it must be of the same form as the protobuf message Document
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will not be retried.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

from_service_account_file

from_service_account_file(filename, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`LanguageServiceClient`	The constructed client.

from_service_account_json

from_service_account_json(filename, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`LanguageServiceClient`	The constructed client.

Class LanguageServiceClient (1.3.2)

Methods

LanguageServiceClient

analyze_entities

TODO: Initialize `document`:

analyze_entity_sentiment

TODO: Initialize `document`:

analyze_sentiment

TODO: Initialize `document`:

analyze_syntax

TODO: Initialize `document`:

annotate_text

TODO: Initialize `document`:

TODO: Initialize `features`:

classify_text

TODO: Initialize `document`:

from_service_account_file

from_service_account_json

Class LanguageServiceClient (1.3.2)

Methods

LanguageServiceClient

analyze_entities

TODO: Initialize document:

analyze_entity_sentiment

TODO: Initialize document:

analyze_sentiment

TODO: Initialize document:

analyze_syntax

TODO: Initialize document:

annotate_text

TODO: Initialize document:

TODO: Initialize features:

classify_text

TODO: Initialize document:

from_service_account_file

from_service_account_json

TODO: Initialize `document`:

TODO: Initialize `document`:

TODO: Initialize `document`:

TODO: Initialize `document`:

TODO: Initialize `document`:

TODO: Initialize `features`:

TODO: Initialize `document`: