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What is Betteromics?
Betteromics functions as a Private SaaS solution within your Virtual Private Cloud, empowering you to create connections across all of your datasets. It facilitates the reliable validation of both structured and unstructured data through flexible and customizable rules. You can monitor and audit your data's journey from the moment of input through to analysis, ensuring full accountability for data provenance. By utilizing natural language processing and sophisticated language models, you can extract relevant data elements from clinical records for quality assurance, labeling, and comprehensive analysis. You can swiftly design and refine models that are specifically tailored to your tasks or datasets, aiding in the identification of anomalies, making predictions, and uncovering valuable insights from your data while optimizing your workflows. Additionally, you can enrich your machine learning and analytical pursuits by gaining access to public datasets that are readily available for integration. The platform emphasizes security by incorporating clinical-grade protections, such as robust encryption, detailed data traceability, and role-based access controls, thereby ensuring that sensitive information remains secure. In summary, Betteromics not only offers a powerful environment for managing and analyzing data, but it also supports organizations in navigating the complexities associated with large datasets effectively. This makes it an indispensable resource for any entity aiming to enhance their data-driven decision-making processes.
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.
Integrations Supported
Azure Marketplace
Jupyter Notebook
Python
R
R-Studio
TAS Insight Engine
Unremot
Integrations Supported
Azure Marketplace
Jupyter Notebook
Python
R
R-Studio
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
Betteromics
Company Website
www.betteromics.com
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
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
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