azure.cognitiveservices.language.textanalytics.models module

exception azure.cognitiveservices.language.textanalytics.models.ErrorResponseException(deserialize, response, *args)[source]

Bases: msrest.exceptions.HttpOperationError

Server responsed with exception of type: ‘ErrorResponse’.

Parameters:
  • deserialize – A deserializer
  • response – Server response to be deserialized.
class azure.cognitiveservices.language.textanalytics.models.MultiLanguageInput(*, language: str = None, id: str = None, text: str = None, **kwargs)[source]

Bases: msrest.serialization.Model

MultiLanguageInput.

Parameters:
  • language (str) – This is the 2 letter ISO 639-1 representation of a language. For example, use “en” for English; “es” for Spanish etc.,
  • id (str) – Unique, non-empty document identifier.
  • text (str) –
class azure.cognitiveservices.language.textanalytics.models.MultiLanguageBatchInput(*, documents=None, **kwargs)[source]

Bases: msrest.serialization.Model

MultiLanguageBatchInput.

Parameters:documents (list[MultiLanguageInput]) –
class azure.cognitiveservices.language.textanalytics.models.MatchRecord(*, wikipedia_score: float = None, entity_type_score: float = None, text: str = None, offset: int = None, length: int = None, **kwargs)[source]

Bases: msrest.serialization.Model

MatchRecord.

Parameters:
  • wikipedia_score (float) – (optional) If a well-known item with Wikipedia link is recognized, a decimal number denoting the confidence level of the Wikipedia info will be returned.
  • entity_type_score (float) – (optional) If an entity type is recognized, a decimal number denoting the confidence level of the entity type will be returned.
  • text (str) – Entity text as appears in the request.
  • offset (int) – Start position (in Unicode characters) for the entity match text.
  • length (int) – Length (in Unicode characters) for the entity match text.
class azure.cognitiveservices.language.textanalytics.models.EntityRecord(*, name: str = None, matches=None, wikipedia_language: str = None, wikipedia_id: str = None, bing_id: str = None, type: str = None, sub_type: str = None, **kwargs)[source]

Bases: msrest.serialization.Model

EntityRecord.

Variables are only populated by the server, and will be ignored when sending a request.

Parameters:
  • name (str) – Entity formal name.
  • matches (list[MatchRecord]) – List of instances this entity appears in the text.
  • wikipedia_language (str) – Wikipedia language for which the WikipediaId and WikipediaUrl refers to.
  • wikipedia_id (str) – Wikipedia unique identifier of the recognized entity.
  • bing_id (str) – Bing unique identifier of the recognized entity. Use in conjunction with the Bing Entity Search API to fetch additional relevant information.
  • type (str) – Entity type from Named Entity Recognition model
  • sub_type (str) – Entity sub type from Named Entity Recognition model
Variables:

wikipedia_url (str) – URL for the entity’s Wikipedia page.
class azure.cognitiveservices.language.textanalytics.models.DocumentStatistics(*, characters_count: int = None, transactions_count: int = None, **kwargs)[source]

Bases: msrest.serialization.Model

DocumentStatistics.

Parameters:
  • characters_count (int) – Number of text elements recognized in the document.
  • transactions_count (int) – Number of transactions for the document.
class azure.cognitiveservices.language.textanalytics.models.EntitiesBatchResultItem(*, id: str = None, statistics=None, **kwargs)[source]

Bases: msrest.serialization.Model

EntitiesBatchResultItem.

Variables are only populated by the server, and will be ignored when sending a request.

Parameters:
  • id (str) – Unique, non-empty document identifier.
  • statistics (DocumentStatistics) – (Optional) if showStats=true was specified in the request this field will contain information about the document payload.
Variables:

entities (list[EntityRecord]) – Recognized entities in the document.
class azure.cognitiveservices.language.textanalytics.models.ErrorRecord(*, id: str = None, message: str = None, **kwargs)[source]

Bases: msrest.serialization.Model

ErrorRecord.

Parameters:
  • id (str) – Input document unique identifier the error refers to.
  • message (str) – Error message.
class azure.cognitiveservices.language.textanalytics.models.RequestStatistics(*, documents_count: int = None, valid_documents_count: int = None, erroneous_documents_count: int = None, transactions_count: int = None, **kwargs)[source]

Bases: msrest.serialization.Model

RequestStatistics.

Parameters:
  • documents_count (int) – Number of documents submitted in the request.
  • valid_documents_count (int) – Number of valid documents. This excludes empty, over-size limit or non-supported languages documents.
  • erroneous_documents_count (int) – Number of invalid documents. This includes empty, over-size limit or non-supported languages documents.
  • transactions_count (long) – Number of transactions for the request.
class azure.cognitiveservices.language.textanalytics.models.EntitiesBatchResult(**kwargs)[source]

Bases: msrest.serialization.Model

EntitiesBatchResult.

Variables are only populated by the server, and will be ignored when sending a request.

Variables:
  • documents (list[EntitiesBatchResultItem]) – Response by document
  • errors (list[ErrorRecord]) – Errors and Warnings by document
  • statistics (RequestStatistics) – (Optional) if showStats=true was specified in the request this field will contain information about the request payload.
class azure.cognitiveservices.language.textanalytics.models.InternalError(*, code: str = None, message: str = None, inner_error=None, **kwargs)[source]

Bases: msrest.serialization.Model

InternalError.

Parameters:
  • code (str) –
  • message (str) –
  • inner_error (InternalError) –
class azure.cognitiveservices.language.textanalytics.models.ErrorResponse(*, code: str = None, message: str = None, target: str = None, inner_error=None, **kwargs)[source]

Bases: msrest.serialization.Model

ErrorResponse.

Parameters:
  • code (str) –
  • message (str) –
  • target (str) –
  • inner_error (InternalError) –
class azure.cognitiveservices.language.textanalytics.models.KeyPhraseBatchResultItem(*, id: str = None, statistics=None, **kwargs)[source]

Bases: msrest.serialization.Model

KeyPhraseBatchResultItem.

Variables are only populated by the server, and will be ignored when sending a request.

Parameters:
  • id (str) – Unique, non-empty document identifier.
  • statistics (DocumentStatistics) – (Optional) if showStats=true was specified in the request this field will contain information about the document payload.
Variables:

key_phrases (list[str]) – A list of representative words or phrases. The number of key phrases returned is proportional to the number of words in the input document.
class azure.cognitiveservices.language.textanalytics.models.KeyPhraseBatchResult(**kwargs)[source]

Bases: msrest.serialization.Model

KeyPhraseBatchResult.

Variables are only populated by the server, and will be ignored when sending a request.

Variables:
class azure.cognitiveservices.language.textanalytics.models.LanguageInput(*, country_hint: str = None, id: str = None, text: str = None, **kwargs)[source]

Bases: msrest.serialization.Model

LanguageInput.

Parameters:
  • country_hint (str) –
  • id (str) – Unique, non-empty document identifier.
  • text (str) –
class azure.cognitiveservices.language.textanalytics.models.LanguageBatchInput(*, documents=None, **kwargs)[source]

Bases: msrest.serialization.Model

LanguageBatchInput.

Parameters:documents (list[LanguageInput]) –
class azure.cognitiveservices.language.textanalytics.models.DetectedLanguage(*, name: str = None, iso6391_name: str = None, score: float = None, **kwargs)[source]

Bases: msrest.serialization.Model

DetectedLanguage.

Parameters:
  • name (str) – Long name of a detected language (e.g. English, French).
  • iso6391_name (str) – A two letter representation of the detected language according to the ISO 639-1 standard (e.g. en, fr).
  • score (float) – A confidence score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true.
class azure.cognitiveservices.language.textanalytics.models.LanguageBatchResultItem(*, id: str = None, detected_languages=None, statistics=None, **kwargs)[source]

Bases: msrest.serialization.Model

LanguageBatchResultItem.

Parameters:
  • id (str) – Unique, non-empty document identifier.
  • detected_languages (list[DetectedLanguage]) – A list of extracted languages.
  • statistics (DocumentStatistics) – (Optional) if showStats=true was specified in the request this field will contain information about the document payload.
class azure.cognitiveservices.language.textanalytics.models.LanguageBatchResult(**kwargs)[source]

Bases: msrest.serialization.Model

LanguageBatchResult.

Variables are only populated by the server, and will be ignored when sending a request.

Variables:
  • documents (list[LanguageBatchResultItem]) – Response by document
  • errors (list[ErrorRecord]) – Errors and Warnings by document
  • statistics (RequestStatistics) – (Optional) if showStats=true was specified in the request this field will contain information about the request payload.
class azure.cognitiveservices.language.textanalytics.models.SentimentBatchResultItem(*, id: str = None, score: float = None, statistics=None, **kwargs)[source]

Bases: msrest.serialization.Model

SentimentBatchResultItem.

Parameters:
  • id (str) – Unique, non-empty document identifier.
  • score (float) – A decimal number between 0 and 1 denoting the sentiment of the document. A score above 0.7 usually refers to a positive document while a score below 0.3 normally has a negative connotation. Mid values refer to neutral text.
  • statistics (DocumentStatistics) – (Optional) if showStats=true was specified in the request this field will contain information about the document payload.
class azure.cognitiveservices.language.textanalytics.models.SentimentBatchResult(**kwargs)[source]

Bases: msrest.serialization.Model

SentimentBatchResult.

Variables are only populated by the server, and will be ignored when sending a request.

Variables: