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Overview

Product Information on Azure Text Analytics

Updated 13th October 2025

What is Azure Text Analytics?

Azure Text Analytics is a software that provides natural language processing features for analyzing text data. It enables extraction of key information such as sentiment, key phrases, named entities, and language detection from unstructured text. The software is designed to help organizations automatically process and understand large volumes of textual content, supporting tasks such as customer feedback analysis, document classification, and content moderation. By leveraging machine learning models, the software assists businesses in gaining insights from text data, enhancing decision-making and improving operational efficiency through automation of data analysis.

Azure Text Analytics Pricing

Azure Text Analytics software uses a payas-you-go pricing model where users are charged based on the number of text records analyzed Each feature such as sentiment analysis key phrase extraction language detection and named entity recognition may be priced separately Volume discounts may apply based on usage tiers and customers are billed monthly according to their consumption

Overall experience with Azure Text Analytics

CLIENT PARTNER DIRECTOR
1B - 3B USD, Media
FAVORABLE

“Solid choice for NLP due to it's ready to use functionality, scalability and integration”

4.0
Oct 22, 2025
It's a great tool that offers a wonderful suite of natural-language processing capabilities.
There are no reviews in this category.
CRITICAL

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Peer Discussions

Recommended Gartner Insights

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Logo of Azure Text Analytics

Azure Text Analytics

byMicrosoft
in Sentiment Analysis Tools
4.3

About Company

Company Description

Updated 11th August 2023

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

Updated 25th March 2024
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
https://microsoft.com

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Reviewer Insights for: Azure Text Analytics
Performance of Azure Text Analytics Across Market Features

Azure Text Analytics Likes & Dislikes

Like

- Sentiment analysis capability - Language detection - Entity recognition that allows for locations, organizations and persons which is awesome

Like

My preferred part is the flexibility and the scalability of it. It's able to handle different workloads easily and supports over 10 languages, even if we don't use all of them it's great for our global business environment. The specialized modules and the real-time opinion are super effective and consistent so it delivers really good insights.

Like

Scalable Reliable Easy to integrate Enterprise ready

Dislike

1. Make sure to customize it to your needs for better accuracy. 2. Does not grasp sarcasm or very subtle language. 3. Usage costs can scale up.

Dislike

The only area I would like to see improved is the pricing flexibility, I don't want to pay for things I won't use and I would like more options tailored to different usage levels, that would make it easier to scale and optimize cost

Dislike

Limited customisaton Dependency on Azure ecosystem Model flexibility constraints

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Filter Reviews
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  • CLIENT PARTNER DIRECTOR
    1B-10B USD
    Media
    Review Source

    Solid choice for NLP due to it's ready to use functionality, scalability and integration

    4.0
    Oct 22, 2025
    It's a great tool that offers a wonderful suite of natural-language processing capabilities.
  • INNOVATION MANAGER
    1B-10B USD
    Consumer Goods
    Review Source

    Reliable Insights and Multilanguage Support Highlighted, Cost Optimization Sought by Users

    4.0
    Oct 6, 2025
    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.
  • Deputy General Manager
    50M-1B USD
    Software
    Review Source

    Azure Text Analytics Offers Reliable NLP with Limited Customization Capabilities

    4.0
    Dec 28, 2025
    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.
  • PROMOTIONS
    1B-10B USD
    Services (non-Government)
    Review Source

    Challenges in Detecting Sarcasm and Cultural Nuances Within Sentiment Analysis Technology

    4.0
    Oct 10, 2025
    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 INNOVATION
    50M-1B USD
    Manufacturing
    Review Source

    Multi-Language Support Benefits Global Teams Though Documentation Remains Inadequate

    4.0
    Sep 3, 2025
    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.
...
Showing Result 1-5 of 37

4.3

(28 Ratings)

Rating Distribution

5 Star
25%
4 Star
75%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.4

Service & Support

4.4

Product Capabilities

4.3