Class LanguageServiceClient (2.0.0)

LanguageServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.language_v1.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_v1.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
Name	Description
`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
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

analyze_entities

analyze_entities(request: Optional[google.cloud.language_v1.types.language_service.AnalyzeEntitiesRequest] = None, *, document: Optional[google.cloud.language_v1.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1.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
Name	Description
`request`	`.language_service.AnalyzeEntitiesRequest` The request object. The entity analysis request message.
`document`	`.language_service.Document` 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
Type	Description
`.language_service.AnalyzeEntitiesResponse`	The entity analysis response message.

analyze_entity_sentiment

analyze_entity_sentiment(request: Optional[google.cloud.language_v1.types.language_service.AnalyzeEntitySentimentRequest] = None, *, document: Optional[google.cloud.language_v1.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1.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
Name	Description
`request`	`.language_service.AnalyzeEntitySentimentRequest` The request object. The entity-level sentiment analysis request message.
`document`	`.language_service.Document` 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
Type	Description
`.language_service.AnalyzeEntitySentimentResponse`	The entity-level sentiment analysis response message.

analyze_sentiment

analyze_sentiment(request: Optional[google.cloud.language_v1.types.language_service.AnalyzeSentimentRequest] = None, *, document: Optional[google.cloud.language_v1.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1.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
Name	Description
`request`	`.language_service.AnalyzeSentimentRequest` The request object. The sentiment analysis request message.
`document`	`.language_service.Document` 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. 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
Type	Description
`.language_service.AnalyzeSentimentResponse`	The sentiment analysis response message.

analyze_syntax

analyze_syntax(request: Optional[google.cloud.language_v1.types.language_service.AnalyzeSyntaxRequest] = None, *, document: Optional[google.cloud.language_v1.types.language_service.Document] = None, encoding_type: Optional[google.cloud.language_v1.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
Name	Description
`request`	`.language_service.AnalyzeSyntaxRequest` The request object. The syntax analysis request message.
`document`	`.language_service.Document` 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
Type	Description
`.language_service.AnalyzeSyntaxResponse`	The syntax analysis response message.

annotate_text

annotate_text(request: Optional[google.cloud.language_v1.types.language_service.AnnotateTextRequest] = None, *, document: Optional[google.cloud.language_v1.types.language_service.Document] = None, features: Optional[google.cloud.language_v1.types.language_service.AnnotateTextRequest.Features] = None, encoding_type: Optional[google.cloud.language_v1.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 the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.

Parameters
Name	Description
`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` 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` 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
Type	Description
`.language_service.AnnotateTextResponse`	The text annotations response message.

classify_text

classify_text(request: Optional[google.cloud.language_v1.types.language_service.ClassifyTextRequest] = None, *, document: Optional[google.cloud.language_v1.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
Name	Description
`request`	`.language_service.ClassifyTextRequest` The request object. The document classification request message.
`document`	`.language_service.Document` 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
Type	Description
`.language_service.ClassifyTextResponse`	The 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
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`{@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
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`{@api.name}`	The constructed client.