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Ratings and Reviews 0 Ratings
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What is QoreMail?
QoreMail is an advanced automation solution crafted for effective communication management. This state-of-the-art tool utilizes existing channels while facilitating the creation of new pathways, streamlining low-value business processes that require no human intervention, thus enabling your team to concentrate on more significant tasks. By scrutinizing both structured and unstructured data, QoreMail swiftly transforms it into actionable and pertinent information with remarkable precision. Consequently, you can greatly improve the productivity of your core operations while reducing operational costs, frequently achieving a return on investment in under a year. Additionally, QoreMail skillfully evaluates incoming communications to pinpoint and extract essential information relevant to your business, such as account numbers, project identifiers, file references, product specifics, invoice details, order information, key dates, and personnel names, among other crucial data points. Ultimately, this tool not only enhances operational efficiency but also equips organizations with the insights necessary for rapid decision-making in a fast-paced environment. With its robust capabilities, QoreMail positions companies to adapt swiftly to changing demands and capitalize on new opportunities.
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
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
Coginov
Date Founded
2002
Company Location
Canada
Company Website
www.coginov.com/en/qoremail/
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
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