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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

The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Fleece AI No 
Neota No 
OpenResty No 
Pipedream No 
TIMi No 

Integrations

Fleece AI Yes 
Neota Yes 
OpenResty Yes 
Pipedream Yes 
TIMi Yes 

Pricing Details

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

Pricing Details

$200 per month
Free Trial No 
Free Version Yes 

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 No 

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

TextRazor

Founded

2011

Country

United Kingdom

Website

www.textrazor.com

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 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 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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