Overview
Product Information on Azure Text Analytics
Updated 13th October 2025
What is Azure Text Analytics?
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Overall experience with Azure Text Analytics
Deputy General Manager
250M - 500M USD, SoftwareFAVORABLE
“Azure Text Analytics Offers Reliable NLP with Limited Customization Capabilities”
Azure Text Analytics is a robust and scalable NLP service that supports sentiment analysis, key phrase extraction, entity recognition, and language detection. It delivers consistent performance and is easy to deploy for enterprise use cases. While highly effective for NLP tasks, customisation and fine tuning options are relatively limited.
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Company Description
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.
Company Details
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
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- Deputy General Manager50M-1B USDSoftwareReview Source
Azure Text Analytics Offers Reliable NLP with Limited Customization Capabilities
Azure Text Analytics is a robust and scalable NLP service that supports sentiment analysis, key phrase extraction, entity recognition, and language detection. It delivers consistent performance and is easy to deploy for enterprise use cases. While highly effective for NLP tasks, customisation and fine tuning options are relatively limited. - CLIENT PARTNER DIRECTOR1B-10B USDMediaReview Source
Solid choice for NLP due to it's ready to use functionality, scalability and integration
It's a great tool that offers a wonderful suite of natural-language processing capabilities. - INNOVATION MANAGER1B-10B USDConsumer GoodsReview Source
Reliable Insights and Multilanguage Support Highlighted, Cost Optimization Sought by Users
It has really become a key part of our company toolkit, It helps us make sense of large amounts of unstructured data, and highlights insights that would otherwise be impossible to highlight and use. Sentiment Analysis stands out for its accuracy and ease of use, and the platform in general feeling of the people working with it is powerful and reliable. - PROMOTIONS1B-10B USDServices (non-Government)Review Source
Challenges in Detecting Sarcasm and Cultural Nuances Within Sentiment Analysis Technology
Best voice to text and sentiment analysis we have found. Working in a highly regulated industry, having a reliable key phrase detector is essential - this system has paid for itself by picking up potential issues before they can become dire. - DIRECTOR OF IT INNOVATION50M-1B USDManufacturingReview Source
Multi-Language Support Benefits Global Teams Though Documentation Remains Inadequate
We've been generally impressed with the core capabilities of Azure Text Analytics - the platform performs well with large text workloads and has a high degree of accuracy for extraction of sentiment, key phrases, entities and language. The multi-language support is a plus for our global organization and it integrates well with the rest of our Microsoft Azure ecosystem of applications. Domain-specific use cases have proven to be challenging at times, given that the sentiment models have been trained primarily on product/service reviews. Also, the documentation is lacking in areas when we've needed to consult technical details for integration requirements.
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