Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    28 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    12 Ratings
    Company Website
  • Valant Behavioral Health EHR Reviews & Ratings
    335 Ratings
    Company Website
  • Enterprise Bot Reviews & Ratings
    23 Ratings
    Company Website
  • kama.ai Reviews & Ratings
    8 Ratings
  • CallHub Reviews & Ratings
    426 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • RXNT Reviews & Ratings
    551 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    361 Ratings
    Company Website
  • Sogolytics Reviews & Ratings
    866 Ratings
    Company Website

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

What is Amazon Comprehend?

Amazon Comprehend is an advanced natural language processing (NLP) platform that utilizes machine learning techniques to uncover insights and identify relationships within textual data, requiring no previous machine learning expertise for its application. Your unstructured data, which may originate from customer emails, support requests, product reviews, social media conversations, or marketing materials, is rich with insights that can greatly benefit your organization by reflecting customer attitudes. The main challenge is to harness this abundant information, but machine learning is adept at extracting specific elements from large volumes of text, such as identifying company names in financial reports, along with gauging the sentiment conveyed in the language, whether it involves addressing negative feedback or recognizing positive experiences with customer service. Amazon Comprehend enables you to uncover these hidden insights and relationships in your unstructured data, serving as a vital tool for improving business strategies and making informed decisions. As a result, leveraging this technology can transform the way you understand and respond to customer needs, ultimately driving growth and innovation within your organization.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Azure Marketplace
Camunda
Datasaur
FormKiQ
Mantium
PubNub
Qlik Staige
Quickwork
TAS Insight Engine
Unremot
iText
n8n

Integrations Supported

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Azure Marketplace
Camunda
Datasaur
FormKiQ
Mantium
PubNub
Qlik Staige
Quickwork
TAS Insight Engine
Unremot
iText
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Popular Alternatives

Popular Alternatives