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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

AKIN represents an innovative data analytics platform that leverages cutting-edge Artificial Intelligence Software. It eliminates the need for costly and time-intensive preliminary tasks associated with Natural Language Processing, enabling users to swiftly implement a practical solution that delivers both accuracy and effectiveness. There is no requirement for a team of specialists to undertake the intricate work of feature engineering, the selection of machine learning algorithms, or extensive testing of various methods, including tagging large datasets and training machine learning models. With AKIN AI, users can easily configure or add the concepts they wish to identify, allowing the platform to utilize this input alongside its inherent knowledge to accurately detect those concepts. In doing so, it provides valuable insights and conclusions with remarkable precision, streamlining the analytical process significantly. Ultimately, AKIN empowers users to harness the power of AI without the barriers typically associated with advanced data analytics.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace No 
TAS Insight Engine No 
Unremot No 

Integrations

Azure Marketplace Yes 
TAS Insight Engine Yes 
Unremot Yes 

Pricing Details

$129.99/one-time/user
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

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

Customer Support

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

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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Grapple Data Technology

Founded

2012

Country

United States

Website

www.grappledata.com/default.aspx

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Product Features

Natural Language Processing

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

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 

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