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Description
Our natural language processing technology efficiently reveals insights from vast amounts of text with an unparalleled level of accuracy in the market, while offering the adaptability to fit seamlessly into your unique business and operational workflows. You can achieve significant and consistent outcomes with this approach. A considerable number of our deployed models exceed 90% in both precision and recall, standing in stark contrast to the industry's average of 68%. This remarkable performance explains why Amenity's NLP is relied upon by major organizations across various sectors. It focuses on extracting relevant information while filtering out irrelevant noise. Our NLP processes, refines, and organizes text from millions of documents, converting them into actionable insights for your business. It assesses the context and significance of text, recognizing shifts in meaning from individual phrases to broader paragraphs. Additionally, it allows you to transform any text source into tailored industry analyses and sentiments linked to business activities, providing clarity on the reasons behind the outcomes. With a commitment to transparency, our NLP is customizable to meet your specific needs and adapt to any environment. Ultimately, this ensures you receive the insights that matter most to your business.
Description
Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.
API Access
Has API
API Access
Has API
Integrations
TAS Insight Engine
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.003 per NLU item
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amenity Analytics
Country
United States
Website
www.AmenityAnalytics.com
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-natural-language-understanding
Product Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Product 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
