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.

Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, Azure Text Analytics offers API access

Ratings/Reviews

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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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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Support
Phone Support
Online

Azure Text Analytics Frequently Asked Questions

Q: What kinds of users and organization types does Azure Text Analytics work with?
Q: What languages does Azure Text Analytics support in their product?
Q: What kind of support options does Azure Text Analytics offer?
Q: What other applications or services does Azure Text Analytics integrate with?
Q: Does Azure Text Analytics have an API?
Q: What type of training does Azure Text Analytics provide?
Q: Does Azure Text Analytics offer a free trial?

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