Azure AI Language Services

Sentiment Analysis

Detects the sentiment (positive, negative, neutral) expressed in text. Useful for understanding customer feedback and brand perception.

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Key Phrase Extraction

Identifies the main talking points and key phrases within unstructured text. Helps in summarizing content and topic modeling.

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Named Entity Recognition (NER)

Locates and classifies entities in text into predefined categories such as person, organization, location, and date. Essential for information extraction.

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Language Detection

Determines the language of a given text. Supports a wide range of languages and is a foundational step for many NLP tasks.

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Text Comprehension

Understands the meaning and relationships within text, enabling advanced question answering and information retrieval.

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Question Answering

Builds custom question-and-answer solutions from your content, allowing users to ask natural language questions and receive precise answers.

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Text Summarization

Generates concise summaries of longer texts, either by extracting key sentences or by abstracting the main points.

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Custom Text Classification & NER

Train custom models to classify text into your own categories or extract entities specific to your domain.

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