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Description

Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.

Description

Enhance your decision-making process with a smarter and quicker approach using our Enterprise Document Intelligence Platform, designed to transform raw data into actionable insights. This adaptable platform leverages advanced cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate pertinent, timely, and accurate information from various documents. Delivered as a service, this solution minimizes ownership costs and accelerates the realization of value. The platform operates through a systematic process: first, it CLASSIFIES by ingesting structured, semi-structured, or unstructured documents and utilizing semantic understanding alongside visual cues to identify and categorize them. Next, it EXTRACTS essential words, phrases, and text segments from both printed and handwritten materials while detecting signatures or annotations on pages, allowing for easy review and corrections of the extracted content. Furthermore, the AI system learns and improves from human corrections, enhancing its accuracy over time. Finally, the platform offers ENRICHMENT through customizable data verification, validation, standardization, and normalization, ensuring that the information you rely on is both reliable and relevant. With this comprehensive approach, organizations can unlock the full potential of their documents and drive informed decisions.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace Yes 
TAS Insight Engine Yes 
Unremot Yes 

Integrations

Azure Marketplace No 
TAS Insight Engine No 
Unremot No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

Nirveda Cognition

Founded

2017

Country

United States

Website

www.nirvedacognition.ai

Product Features

Natural Language Processing

Co-Reference Resolution Yes 
In-Database Text Analytics Yes 
Named Entity Recognition Yes 
Natural Language Generation (NLG) Yes 
Open Source Integrations Yes 
Parsing No 
Part-of-Speech Tagging Yes 
Sentence Segmentation Yes 
Stemming/Lemmatization Yes 
Tokenization No 

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction Yes 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction Yes 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

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