Audience
Businesses looking for an AI service to uncover insights like sentiment, entities, and key phrases in unstructured text
About Azure Text Analytics
Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.
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Pricing
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Company Information
Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
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Azure Text Analytics Frequently Asked Questions
Azure Text Analytics Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Parsing
Tokenization
