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Ratings and Reviews 0 Ratings
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What is Watson Natural Language Understanding?
Watson Natural Language Understanding is a cloud-based solution that utilizes advanced deep learning methods to extract metadata from text, such as entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Engage deeply with your data through text analysis, allowing for the extraction of keywords, concepts, categories, and beyond. This service can analyze unstructured data in more than thirteen different languages. With its pre-built machine learning models for text mining, it achieves an impressive level of accuracy in processing your content. You have the flexibility to deploy Watson Natural Language Understanding behind your firewall or on any preferred cloud platform. Tailor Watson to understand the unique language of your business and obtain customized insights through Watson Knowledge Studio. Your ownership of data is safeguarded, as we prioritize the security and confidentiality of your information, ensuring that IBM will not collect or retain your data. By leveraging our advanced natural language processing (NLP) tools, developers can effectively decipher and extract significant insights from their unstructured data, thereby improving their decision-making processes. This cutting-edge method not only simplifies data analysis but also empowers organizations to fully exploit their information resources, leading to better strategic outcomes. Organizations that embrace this technology are likely to see enhanced efficiency and innovation across their operations.
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AKIN is a groundbreaking data analytics solution that utilizes state-of-the-art artificial intelligence technology. By removing the expensive and laborious preliminary processes usually associated with natural language processing, it allows users to quickly deploy a solution that is both effective and accurate. There's no longer a requirement for an expert team of scientists to manage feature engineering, select machine learning algorithms, or experiment with various approaches, nor to label large datasets or train machine learning models. Users can simply set up and incorporate the concepts they wish to analyze with AKIN AI. The platform skillfully merges this user-inputted information with its built-in knowledge to reliably identify those concepts and draw meaningful conclusions and decisions. This efficient method not only conserves valuable time but also enables organizations to leverage the power of AI without facing the usual obstacles. Ultimately, AKIN simplifies the integration of advanced analytics into everyday business practices, making sophisticated technology accessible to a broader range of users.
Integrations Supported
TAS Insight Engine
API Availability
Has API
API Availability
Has API
Pricing Information
$0.003 per NLU item
Free Trial Offered?
Free Version
Pricing Information
$129.99/one-time/user
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
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/cloud/watson-natural-language-understanding
Company Facts
Organization Name
Grapple Data Technology
Date Founded
2012
Company Location
United States
Company Website
www.grappledata.com/default.aspx
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
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
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
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
