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Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/index.yml
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manager: nitinme
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ms.service: speech-service
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ms.topic: hub-page
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ms.date: 09/13/2021
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ms.date: 11/02/2021
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ms.author: aahi
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highlightedContent:
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conceptualContent:
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items:
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- title: Extract information
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summary: Use Natural Language Understanding (NLU) to extract information from unstructured text. For example, identify key phrases or Personally Identifiable Information (PII), summarize text, recognize and categorize named entities, or customize an entity extraction model on top of your domain set.
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links:
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- itemType: overview
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text: Extract key phrases
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- itemType: overview
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text: Text Analytics for health
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url: text-analytics-for-health/overview.md
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- itemType: overview
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text: Text summarization
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url: text-summarization/overview.md
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- title: Classify Text
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summary: Use Natural Language Understanding (NLU) to detect the language or classify the sentiment of text you have. You can also classify your text documents by customizing a classification model over your dataset.
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links:
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- itemType: overview
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text: Analyze sentiment and mine text for opinions
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text: Custom text classification
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url: custom-classification/overview.md
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- title: Understand conversations and answer questions
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- title: Answer questions
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summary: Provide answers to questions being asked in unstructured texts using our prebuilt capabilities, or customize your domain specific question-and-answer pairs over data you provide.
summary: Create your own Conversational Language Understanding model to classify conversational utterances and extract detailed information from them to fulfill scenarios.
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