MI

Microsoft Cognitive Language Service - Text Analysis

Pipelines

Text analysis: detect sentiment, extract key phrases, identify language, and run long-running analysis jobs

6 revisions

Docs are not available for this revision

This document refers to 24 other files, and Skmtc keeps one file for each revision. Docs, search, answers and code generation need the whole schema, so they are off until the publisher's document includes these files.

Files this document refers toReferences
./examples/SuccessfulEntityLinkingRequest.json1
./examples/SuccessfulEntityRecognitionExclusionRequest.json1
./examples/SuccessfulEntityRecognitionInclusionRequest.json1
./examples/SuccessfulEntityRecognitionInferenceOptionsRequest.json1
./examples/SuccessfulEntityRecognitionOverlapPolicy.json1
./examples/SuccessfulEntityRecognitionRequest.json1
./examples/SuccessfulKeyPhraseExtractionRequest.json1
./examples/SuccessfulLanguageDetectionRequest.json1
./examples/SuccessfulPiiEntityRecognitionExclusionRequest.json1
./examples/SuccessfulPiiEntityRecognitionMaskedEntities.json1
14 more files

Spec
Swagger 2.0
Document
raw.githubusercontent.com, JSON, 324 KB
Retrieved
Jul 13, 2026, 19:36 UTC
Digest
87a54ae2fce6

For agents

Every page here has a markdown twin. The overview is one fetch; the llms.txt lists every operation with a link to its own markdown.

curl https://skmtc.dev/azure/apis/cognitiveservices-languageanalyzetext.md
curl https://skmtc.dev/azure/apis/cognitiveservices-languageanalyzetext/llms.txt