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What is Sonar Analytics?

Sonar analytics functions as a sophisticated tool for digital conversation intelligence, streamlining the capture and analysis of sentiment, trends, and pertinent industry information. By systematically collecting, organizing, and uncovering essential insights from the vast array of social and digital media across a variety of channels, it provides a lucid and detailed picture of your present position in almost real-time. This clarity empowers you to make well-informed and strategic choices based on precise and thorough data. Sonar Analytics is equipped with an array of features that support the creation of targeted marketing intelligence derived from social media and digital content, covering major platforms such as Twitter, Facebook, Instagram, YouTube, and numerous online marketplaces. You can continuously monitor industry trends and developments through features like sentiment analysis, trend detection, identification of key influencers, and automated insight reports. These tools not only allow businesses to respond to shifts in the market but also enable them to proactively influence their strategies in a constantly evolving landscape, ensuring they remain competitive and relevant. Ultimately, leveraging Sonar analytics can lead to a more nuanced understanding of market dynamics, enhancing overall business effectiveness.

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.

Media

Media

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

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

Sonar Platform

Date Founded

2015

Company Location

Indonesia

Company Website

www.sonarplatform.com/sonar-analytics

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Media Monitoring

Alerts / Notifications
Broadcast Media Monitoring
Content Translation
Dashboards / Reporting
Export Results
Online News Monitoring
Podcast Monitoring
Print Media Monitoring
Social Media Monitoring

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

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