Class LanguageServiceClient (2.0.0)

LanguageServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.language_v1beta2.services.language_service.transports.base.LanguageServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

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

Methods

LanguageServiceClient

LanguageServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.language_v1beta2.services.language_service.transports.base.LanguageServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiate the language service client.

Parameters
NameDescription
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

transport Union[str, .LanguageServiceTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options client_options_lib.ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be 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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

analyze_entities

analyze_entities(request: Optional[google.cloud.language_v1beta2.types.language_service.AnalyzeEntitiesRequest] = None, *, document: Optional[google.cloud.language_v1beta2.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1beta2.types.language_service.EncodingType] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

Parameters
NameDescription
request .language_service.AnalyzeEntitiesRequest

The request object. The entity analysis request message.

document .language_service.Document

Required. Input document. This corresponds to the document field on the request instance; if request is provided, this should not be set.

encoding_type .language_service.EncodingType

The encoding type used by the API to calculate offsets. This corresponds to the encoding_type field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.language_service.AnalyzeEntitiesResponseThe entity analysis response message.

analyze_entity_sentiment

analyze_entity_sentiment(request: Optional[google.cloud.language_v1beta2.types.language_service.AnalyzeEntitySentimentRequest] = None, *, document: Optional[google.cloud.language_v1beta2.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1beta2.types.language_service.EncodingType] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

Parameters
NameDescription
request .language_service.AnalyzeEntitySentimentRequest

The request object. The entity-level sentiment analysis request message.

document .language_service.Document

Required. Input document. This corresponds to the document field on the request instance; if request is provided, this should not be set.

encoding_type .language_service.EncodingType

The encoding type used by the API to calculate offsets. This corresponds to the encoding_type field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.language_service.AnalyzeEntitySentimentResponseThe entity-level sentiment analysis response message.

analyze_sentiment

analyze_sentiment(request: Optional[google.cloud.language_v1beta2.types.language_service.AnalyzeSentimentRequest] = None, *, document: Optional[google.cloud.language_v1beta2.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1beta2.types.language_service.EncodingType] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Analyzes the sentiment of the provided text.

Parameters
NameDescription
request .language_service.AnalyzeSentimentRequest

The request object. The sentiment analysis request message.

document .language_service.Document

Required. Input document. This corresponds to the document field on the request instance; if request is provided, this should not be set.

encoding_type .language_service.EncodingType

The encoding type used by the API to calculate sentence offsets for the sentence sentiment. This corresponds to the encoding_type field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.language_service.AnalyzeSentimentResponseThe sentiment analysis response message.

analyze_syntax

analyze_syntax(request: Optional[google.cloud.language_v1beta2.types.language_service.AnalyzeSyntaxRequest] = None, *, document: Optional[google.cloud.language_v1beta2.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1beta2.types.language_service.EncodingType] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

Parameters
NameDescription
request .language_service.AnalyzeSyntaxRequest

The request object. The syntax analysis request message.

document .language_service.Document

Required. Input document. This corresponds to the document field on the request instance; if request is provided, this should not be set.

encoding_type .language_service.EncodingType

The encoding type used by the API to calculate offsets. This corresponds to the encoding_type field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.language_service.AnalyzeSyntaxResponseThe syntax analysis response message.

annotate_text

annotate_text(request: Optional[google.cloud.language_v1beta2.types.language_service.AnnotateTextRequest] = None, *, document: Optional[google.cloud.language_v1beta2.types.language_service.Document] = None, features: Optional[google.cloud.language_v1beta2.types.language_service.AnnotateTextRequest.Features] = None, encoding_type: Optional[google.cloud.language_v1beta2.types.language_service.EncodingType] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

A convenience method that provides all syntax, sentiment, entity, and classification features in one call.

Parameters
NameDescription
request .language_service.AnnotateTextRequest

The request object. The request message for the text annotation API, which can perform multiple analysis types (sentiment, entities, and syntax) in one call.

document .language_service.Document

Required. Input document. This corresponds to the document field on the request instance; if request is provided, this should not be set.

features .language_service.AnnotateTextRequest.Features

Required. The enabled features. This corresponds to the features field on the request instance; if request is provided, this should not be set.

encoding_type .language_service.EncodingType

The encoding type used by the API to calculate offsets. This corresponds to the encoding_type field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.language_service.AnnotateTextResponseThe text annotations response message.

classify_text

classify_text(request: Optional[google.cloud.language_v1beta2.types.language_service.ClassifyTextRequest] = None, *, document: Optional[google.cloud.language_v1beta2.types.language_service.Document] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Classifies a document into categories.

Parameters
NameDescription
request .language_service.ClassifyTextRequest

The request object. The document classification request message.

document .language_service.Document

Required. Input document. This corresponds to the document field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.language_service.ClassifyTextResponseThe document classification response message.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
{@api.name}The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
{@api.name}The constructed client.